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Machine Learning (Data Science and Deep Learning) with Python Online Training

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  • Delivered by 12+ years of Machine Learning (Data Science and Deep Learning) with Python Certified Expert | 14289+ Students Trained & 430+ Recruiting Clients.
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Learn From Experts, Practice On Projects & Get Placed in IT Company

  • We train students for interviews and Offer Placements in corporate companies.
  • Ideal for graduates with 0 – 3 years of experience & degrees in B. Tech, B.E and B.Sc. IT Or Any Computer Relevent.
  • You will not only gain knowledge of Machine Learning (Data Science and Deep Learning) with Python and Advance tools, but also gain exposure to Industry best practices, Aptitude & SoftSkills.
  • Experienced Trainers and Lab Facility.
  • IBM Machine Learning (Data Science and Deep Learning) with Python Professional Certificate Guidance Support with Exam Dumps.
  • For Corporate, we act as one stop recruiting partner.We provide right skilled candidates who are productive right from day one.
  • Resume & Interviews Preparation Support.
  • Concepts: Environment Setup, Jupyter Overview, virtual Environments, Python Crash, Data Analysis-NumPy, NumPy Operators, Data Analysis-Pandas, Data Analysis-Pandas Exercise, Data Visualization-Matplotlib, Data Visualization-Seaborn, Data Visualization-Pandas-Buildin-Data Visualization.
  • START YOUR CAREER WITH Machine Learning (Data Science and Deep Learning) with Python COURSE THAT GETS YOU A JOB OF UPTO 5 LACS IN JUST 80 DAYS!
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About Machine Learning (Data Science and Deep Learning) with Python Online Training Course

Data Science and Machine Learning with Python Online Training course in ACTE. At its core, data science is a field of study that aims to use a scientific approach to extract meaning and insights from data. Machine learning, on the other hand, refers to a group of techniques used by data scientists that allow computers to learn from data.

Benefits:

Data Science training empowers professionals with data management technologies such as Hadoop, Flume, Machine learning, etc. If a candidate has the knowledge and proficiency of these significant data skills, it would be an added advantage for them to have an improved and competitive career.

Most Job Oriented DataScience And Machine Learning With Python Online Tools Covered
  • Getting and cleaning data.

    Exploratory data analysis.

    Reproducible research.

  • Supervised learning

    Binary Classification

    Core Concepts

  • Description of assignment

    Unsupervised learning

    Jupyter

It is not only the machine learning engineers that have to be able to write high quality code. Sure, a data scientist does not have to be able to build a complex software system, but he or she must be able to build clearly structured, well-documented and easily maintained code!

Yes, Data Science is a Safe Career, with promising future, automation and data science jobs are separate and data science is a facilitator to automation. With the growth in one will help growth in the other.

Python developers are in high demand - not only because the language is so popular and widely used but mostly due to the fact that Python became a solution in many different areas. From web applications to data science and machine learning. ... Surprisingly, that might be the easiest step in becoming a Python developer.

Python is used across diverse fields from web and game development to machine learning, AI, scientific computing and academic research. It is easy to learn as a first language and a valuable skill-set to have in any programmers stack because of its diverse usage.

Python has managed to dominate other programming languages such as Java, C, C++, etc. ... In over the span of 25 years, Python has managed to reach a level that is high above others making it the fastest growing language. Not only this, but it also has a promising future along with the addition of other technology.

Machine learning is only as good as the data it is given and the ability of algorithms to consume it. Going forward, basic levels of machine learning will become a standard requirement for data scientists. This being said, one of the most relevant data science skills is the ability to evaluate machine learning.

Python code is understandable by humans, which makes it easier to build models for machine learning. ... Since Python is a general-purpose language, it can do a set of complex machine learning tasks and enable you to build prototypes quickly that allow you to test your product for machine learning purposes.

Python is a general purpose and high level programming language. You can use Python for developing desktop GUI applications, websites and web applications. Also, Python, as a high level programming language, allows you to focus on core functionality of the application by taking care of common programming tasks.

It supports various frameworks such as Flask and Django by which anyone can make web applications very easily. Python would prove to be the best choice as it not only help you to get a job very easily but gives us many opportunities for future career advancement and self-growth also.

Apart from it, Python is also used for Web development, so any machine Learning Algorithm can easily be integrated with the Web application. In the near future, I can say that Python will be very much in demand and have bright future in Machine Learning, AI fields.

Why Python is best for data science?

The most alluring factor of Python is that anyone aspiring to learn this language can learn it easily and quickly. When compared to other data science languages like R, Python promotes a shorter learning curve and scores over others by promoting an easy-to-understand syntax.


Why Should You Learn  Machine Learning (Data Science and Deep Learning) with Python ?

If you’re looking for an exciting new career that offers tremendous growth opportunity, look no further than the Machine Learning (Data Science and Deep Learning) with Python industry. Today, organizations of all sizes rely on the insights they extract from the data they have to measure progress, make informed decisions, plan for the future, and so on. Data scientists are the people who process and organize the data with scientific methods, algorithms, and other techniques. Daily, they sift through large data sets, extract what matters, and provide businesses with clear, easy-to-understand insights.
With the advancement of machine learning, AI, predictive analytics, Machine Learning (Data Science and Deep Learning) with Python is becoming a more popular career choice. While it’s beneficial to know more than one programming language, aspiring data scientists must learn at least one. There are many to choose from, too, including, Java, Python, Scala, MATLAB, and R.
As it stands now, Python is one of the most widely used programming languages in the field and most of the data scientists use python for Machine Learning (Data Science and Deep Learning) with Python . This dynamic language is easy to learn and read, so it’s an optimal choice for beginners. Python enables quick improvement and can interface with high-performance algorithms written in Fortran or C. IT’s also commonly used in data mining, web development, scientific computing, and more.

Easy to learn

  • The most appealing quality of Machine Learning (Data Science and Deep Learning) with Python is that anyone who wants to learn it even beginners can do so quickly and easily and this is one of the reasons why learners prefer Machine Learning (Data Science and Deep Learning) with Python .
  • That also works well for busy professionals who have limited time to spend learning.
  • When compared to other languages, R, for instance, promotes a shorter learning curve with its easy-to-understand syntax.

Scalability

  • Unlike other programming languages, such as R, excels when it comes to scalability.
  • It’s also faster than languages like Matlab and Stata.
  • It facilitates scale because it gives data scientists flexibility and multiple ways to approach different problems—one of the reasons why YouTube migrated to the language.
  • You can find across multiple industries, powering the rapid development of applications for all kinds of use cases.

Choice of Machine Learning (Data Science and Deep Learning) with Python libraries

  • Another key benefit of using Machine Learning (Data Science and Deep Learning) with Python is that offers is access to a wide variety of data analysis and Machine Learning (Data Science and Deep Learning) with Python libraries.
  • These include, pandas, NumPy, SciPy, StatsModels, and scikit-learn.
  • These are just some of the many available libraries, and Python will continue to add to this collection.
  • Many data scientists who use find that this robust programming language addresses a wide range of needs by offering new solutions to problems that previously seemed unsolvable.

Community

  • One reason that Machine Learning (Data Science and Deep Learning) with Python is so well-known is a direct result of its community.
  • As the Machine Learning (Data Science and Deep Learning) with Python community continues to adopt it, more users are volunteering by creating additional Machine Learning (Data Science and Deep Learning) with Python libraries.
  • This is only driving the creation of the most modern tools and advanced processing techniques available today which is why most of the people are preferring Machine Learning (Data Science and Deep Learning) with Python .
  • The community is a tight-knit one, and finding a solution to a challenging problem has never been easier.
  • A quick internet search is all you need, and you can easily find the answer to any questions or connect with others who may be able to help.
  • Programmers can also connect with their peers on Codementor and Stack Overflow.

Graphics and visualization

  • Machine Learning (Data Science and Deep Learning) with Python comes with many visualization options.
  • Matplotlib provides the solid foundation around which other libraries like Seaborn, pandas plotting, and ggplot have been built.
  • The visualization packages help make sense of data, create charts, graphical plots. and web-ready interactive plots.

Bottom Line

  • There is no denying that the current job market is competitive, as the Bureau of Labor Statistics recently reported.
  • If you're looking for a stable industry that isn't going anywhere anytime soon, Machine Learning (Data Science and Deep Learning) with Python is an excellent choice.
  • But, choosing a successful industry is only half the battle when it comes to job security.
  • There is also a competition to consider, and it's important to remember that oftentimes, many qualified candidates competing for the same job opening.
  • One of the best ways to ensure you stand out to recruiters and employers is to have the right credentials.
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Key Features

ACTE offers Machine Learning (Data Science and Deep Learning) with Python Training in more than 27+ branches with expert trainers. Here are the key features,

  • 40 Hours Course Duration
  • 100% Job Oriented Training
  • Industry Expert Faculties
  • Free Demo Class Available
  • Completed 500+ Batches
  • Certification Guidance

Authorized Partners

ACTE TRAINING INSTITUTE PVT LTD is the unique Authorised Oracle Partner, Authorised Microsoft Partner, Authorised Pearson Vue Exam Center, Authorised PSI Exam Center, Authorised Partner Of AWS and National Institute of Education (nie) Singapore.

Curriculum

Syllabus of Machine Learning (Data Science and Deep Learning) with Python Online Training Course
Module 1: Course Introduction
  • 1. Introduction to the Course
  • 2. Course Help and Welcome
  • 3. Course FAQs
Module 2: Environment Set-up
  • 1. Python Environment Setup
Module 3: Jupyter Overview
  • 1. Updates to Notebook Zip
  • 2. Jupyter Notebooks
  • 3. Optional: Virtual Environments
Module 4: Python crash Course
  • 1. Welcome to the Python Crash Course Section!
  • 2. Introduction to Python Crash Course
  • 3. Python Crash Course - Part 1
  • 4. Python Crash Course - Part 2
  • 5. Python Crash Course - Part 3
  • 6. Python Crash Course - Part 4
  • 7. Python Crash Course Exercises - Overview
  • 8. Python Crash Course Exercises - Solutions
Module 5: Python for Data Analysis-Numpy
  • 1. Welcome to the NumPy Section!
  • 2. Introduction to Numpy
  • 3. Numpy Arrays
  • 4. Quick Note on Array Indexing
  • 5. Numpy Array Indexing
  • 6. Numpy Operations
  • 7. Numpy Exercises Overview
  • 8. Numpy Exercises Solutions
Module 6: Python for Analysis-Pandas
  • 1. Welcome to the Pandas Section!
  • 2. Introduction to Pandas
  • 3. Series
  • 4. DataFrames - Part 1
  • 5. DataFrames - Part 2
  • 6. DataFrames - Part 3
  • 7. Missing Data
  • 8. Groupby
  • 9. Merging Joining and Concatenating
  • 10. Operations
  • 11. Data Input and Output
Module 7: Python for Data Visualization-Matplotlib
  • 1. Welcome to the Data Visualization Section!
  • 2. Introduction to Matplotlib
  • 3. Matplotlib Part 1
  • 4. Matplotlib Part 2
  • 5. Matplotlib Part 3
  • 6. Matplotlib Exercises Overview
  • 7. Matplotlib Exercises - Solutions
Module 8: Python for Data Visualization-Seaborn
  • 1. Introduction to Seaborn
  • 2. Distribution Plots
  • 3. Categorical Plots
  • 4. Matrix Plots
  • 5. Grids
  • 6. Regression Plots
  • 7. Style and Color
  • 8. Seaborn Exercise Overview
  • 9. Seaborn Exercise Solutions
Module 9: Data Capstone Project
  • 1. Welcome to the Data Capstone Projects!
  • 2. 911 Calls Project Overview
  • 3. 911 Calls Solutions - Part 1
  • 4. 911 Calls Solutions - Part 2
  • 5. Bank Data
  • 6. Finance Data Project Overview
  • 7. Finance Project - Solutions Part 1
  • 8. Finance Project - Solutions Part 2
  • 9. Finance Project - Solutions Part 3
Module 10: Introduction to Machine Learning
  • 1. Welcome to the Machine Learning Section!
  • 2. Supervised Learning Overview
  • 3. Evaluating Performance - Classification Error Metrics
  • 4. Evaluating Performance - Regression Error Metrics
  • 5. Machine Learning with Python
Module 11: Linear Regression
  • 1. Linear Regression Theory
  • 2. Linear Regression with Python - Part 1
  • 3. Linear Regression with Python - Part 2
  • 4. Linear Regression Project Overview
  • 5. Linear Regression Project Solution
Module 12: Logistic Regression
  • 1. Logistic Regression Theory
  • 2. Logistic Regression with Python - Part 1
  • 3. Logistic Regression with Python - Part 2
  • 4. Logistic Regression with Python - Part 3
  • 5. Logistic Regression Project Overview
  • 6. Logistic Regression Project Solutions
Module 13: K Nearest Neighbors
  • 1. KNN Theory
  • 2. KNN with Python
  • 3. KNN Project Overview
  • 4. KNN Project Solutions
Module 14: Decision Tree and Random Forests
  • 1. Introduction to Tree Methods
  • 2. Decision Trees and Random Forest with Python.
  • 3. Decision Trees and Random Forest Project Overview
  • 4. Decision Trees and Random Forest Solutions Part 1
  • 5. Decision Trees and Random Forest Solutions Part 2
Module 15: Natural Language Process
  • 1. Natural Language Processing Theory
  • 2. NLP with Python - Part 1
  • 3. NLP with Python - Part 2
  • 4. NLP with Python - Part 3
  • 5. NLP Project Overview
  • 6. NLP Project Solutions
Module 16: Neural Nets and Deep Learning
  • 1. Welcome to the Deep Learning Section!
  • 2. Introduction to Artificial Neural Networks (ANN)
  • 3. Perceptron Model
  • 4. Neural Networks
  • 5. Activation Functions
  • 6. Multi-Class Classification Considerations
  • 7. Cost Functions and Gradient Descent
  • 8. Backpropagation
  • 9. TensorFlow vs Keras
  • 10. TF Syntax Basics - Part One - Preparing the Data
  • 11. TF Syntax Basics - Part Two - Creating and Training the Model
  • 12. TF Syntax Basics - Part Three - Model Evaluation
  • 13. TF Regression Code Along - Exploratory Data Analysis
  • 14. TF Regression Code Along - Exploratory Data Analysis - Continued
  • 15. TF Regression Code Along - Data Preprocessing and Creating a Model
  • 16. TF Regression Code Along - Model Evaluation and Predictions
  • 17. TF Classification Code Along - EDA and Preprocessing
  • 18. TF Classification - Dealing with Overfitting and Evaluation
  • 19. TensorFlow 2.0 Project Options Overview
  • 20. TensorFlow 2.0 Project Notebook Overview
  • 21. Keras Project Solutions - Dealing with Missing Data
  • 22. Keras Project Solutions - Dealing with Missing Data - Part Two
  • 23. Keras Project Solutions - Categorical Data
  • 24. Keras Project Solutions - Data PreProcessing
  • 25. Keras Project Solutions - Data PreProcessing
  • 26. Keras Project Solutions - Creating and Training a Model
  • 27. Keras Project Solutions - Model Evaluation
  • 28. Tensorboard
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Hands-on Real Time Machine Learning (Data Science and Deep Learning) with Python Projects

Project 1
Understanding and Visualizing Data

The field of statistics, including where data come from, study design, data management, and exploring and visualizing data.

Project 2
Data Products for Predictive Analytics

Python data products are powering the AI revolution in the project we will discuss.

Our Top Hiring Partner for Placements

ACTE offers placement opportunities as add-on to every student / professional who completed our classroom or online training. Some of our students are working in these companies listed below.

  • We are associated with top organizations like HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc. It make us capable to place our students in top MNCs across the globe
  • We have separate student’s portals for placement, here you will get all the interview schedules and we notify you through Emails.
  • After completion of 70% Machine Learning (Data Science and Deep Learning) with Python training course content, we will arrange the interview calls to students & prepare them to F2F interaction
  • Machine Learning (Data Science and Deep Learning) with Python Trainers assist students in developing their resume matching the current industry needs
  • We have a dedicated Placement support team wing that assist students in securing placement according to their requirements
  • We will schedule Mock Exams and Mock Interviews to find out the GAP in Candidate Knowledge

Get Certified By MCSE: Data Management and Analytics & Industry Recognized ACTE Certificate

Acte Certification is Accredited by all major Global Companies around the world. We provide after completion of the theoretical and practical sessions to fresher's as well as corporate trainees.

Our certification at Acte is accredited worldwide. It increases the value of your resume and you can attain leading job posts with the help of this certification in leading MNC's of the world. The certification is only provided after successful completion of our training and practical based projects.

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About Experienced Machine Learning (Data Science and Deep Learning) with Python Trainer

  • Our Machine Learning (Data Science and Deep Learning) with Python Training . Trainers are certified professionals with 7+ years of experience in their respective domain as well as they are currently working with Top MNCs.
  • As all Trainers are Machine Learning (Data Science and Deep Learning) with Python domain working professionals so they are having many live projects, trainers will use these projects during training sessions.
  • All our Trainers are working with companies such as Cognizant, Dell, Infosys, IBM, L&T InfoTech, TCS, HCL Technologies, etc.
  • Trainers are also help candidates to get placed in their respective company by Employee Referral / Internal Hiring process.
  • Our trainers are industry-experts and subject specialists who have mastered on running applications providing Best Machine Learning (Data Science and Deep Learning) with Python training to the students.
  • We have received various prestigious awards for Machine Learning (Data Science and Deep Learning) with Python Training from recognized IT organizations.

Machine Learning (Data Science and Deep Learning) with Python Course Reviews

Our ACTE Reviews are listed here. Reviews of our students who completed their training with us and left their reviews in public portals and our primary website of ACTE & Video Reviews.

Nandhini

Student

ACTE is the best training institute for Machine Learning (Data Science and Deep Learning) with Python and Data Analytics in BTM Layout. The trainers are well experienced and the methodology of teaching is top notch. They provide practicals along with theoretical sessions for complete understanding of the concepts. They even provide placement assistance after course completion as well.

AUGUSTINE

Software Engineer

Its Awesome experience of learning Machine Learning with Python from ACTE, full techie Faculty, he give proper justification of all of your queries and help to understand the logic by giving good real world examples which enhance your logic efficiently. Last but not the least, other trainings are also good and you can join without any hesitation. Happy Learning Machine Learning!!

Ebenazar

Best Machine Learning (Data Science and Deep Learning) with Python training institute in Tambaram with Realtime client projects and dedicated support team. I have taken Machine Learning (Data Science and Deep Learning) with Python training on this January and completely happy with their teachings, projects and job support after the course completion. It's a One stop destination for your Machine Learning (Data Science and Deep Learning) with Python And AI training in BTM Layout.

Illakiya

Student

ACTE for your career switch to Machine Learning (Data Science and Deep Learning) with Python ..They have well experienced Trainers in ACTE who can make you industry ready. Curriculum is quite unique and includes current industry needs. They give very good job assistance also.

Tharani

Software Engineer

Its a good institute for Machine Learning (Data Science and Deep Learning) with Python in Porur. The teaching staff is good, they give us day wise assignments which helped me to hands on algorithms of machine learning and also provide us the backup classes. The access they provide is very helpful to listen the classes repeatedly. They provide good placement assistance. Thanks social ACTE team for your support and guidance.

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Machine Learning (Data Science and Deep Learning) with Python Course FAQs

Looking for better Discount Price?

Call now: +91 93833 99991 and know the exciting offers available for you!
  • ACTE is the Legend in offering placement to the students. Please visit our Placed Students List on our website
  • We have strong relationship with over 700+ Top MNCs like SAP, Oracle, Amazon, HCL, Wipro, Dell, Accenture, Google, CTS, TCS, IBM etc.
  • More than 3500+ students placed in last year in India & Globally
  • ACTE conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
  • 85% percent placement record
  • Our Placement Cell support you till you get placed in better MNC
  • Please Visit Your Student Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    ACTE Gives Certificate For Completing A Course
  • Certification is Accredited by all major Global Companies
  • ACTE is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (NIE) Singapore
  • The entire Machine Learning (Data Science and Deep Learning) with Python training has been built around Real Time Implementation
  • You Get Hands-on Experience with Industry Projects, Hackathons & lab sessions which will help you to Build your Project Portfolio
  • GitHub repository and Showcase to Recruiters in Interviews & Get Placed
All the instructors at ACTE are practitioners from the Industry with minimum 9-12 yrs of relevant IT experience. They are subject matter experts and are trained by ACTE for providing an awesome learning experience.
No worries. ACTE assure that no one misses single lectures topics. We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities. If required you can even attend that topic with any other batches.
We offer this course in “Class Room, One to One Training, Fast Track, Customized Training & Online Training” mode. Through this way you won’t mess anything in your real-life schedule.

Why Should I Learn Machine Learning (Data Science and Deep Learning) with Python Course At ACTE?

  • Machine Learning (Data Science and Deep Learning) with Python Course in ACTE is designed & conducted by Machine Learning (Data Science and Deep Learning) with Python experts with 10+ years of experience in the Machine Learning (Data Science and Deep Learning) with Python domain
  • Only institution in India with the right blend of theory & practical sessions
  • In-depth Course coverage for 60+ Hours
  • More than 50,000+ students trust ACTE
  • Affordable fees keeping students and IT working professionals in mind
  • Course timings designed to suit working professionals and students
  • Interview tips and training
  • Resume building support
  • Real-time projects and case studies
Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question.
You will receive ACTE globally recognized course completion certification Along with National Institute of Education (NIE), Singapore.
We have been in the training field for close to a decade now. We set up our operations in the year 2009 by a group of IT veterans to offer world class IT training & we have trained over 50,000+ aspirants to well-employed IT professionals in various IT companies.
We at ACTE believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics. Therefore, we restrict the size of each Machine Learning (Data Science and Deep Learning) with Python batch to 5 or 6 members
Our courseware is designed to give a hands-on approach to the students in Machine Learning (Data Science and Deep Learning) with Python . The course is made up of theoretical classes that teach the basics of each module followed by high-intensity practical sessions reflecting the current challenges and needs of the industry that will demand the students’ time and commitment.
You can contact our support number at +91 93800 99996 / Directly can do by ACTE.in's E-commerce payment system Login or directly walk-in to one of the ACTE branches in India
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