Introduction to Statistics and Probability What is Data? Categories Of Data What is Statistics? Basic Terminologies In Statistics Types Of Statistics Understanding Descriptive Statistics What is Probability Terminologies In Probability Probability Distribution Types Of Probability Joint Probability Statistical Inference ...

Introduction to Supervised Machine Learning: Supervised learning is the kind of machine learning in which devices are trained using well "labeled" training data, and based on that data, machines expect the output. The labeled data means some input data is already labeled with the proper output. In supervised learning, the training data...

Introduction to Datasets for Machine Learning: Machine Learning usually dines like this magical tool, where you shuffle your data and cast the acquired understanding into projections. To do this however you ought to gather, clean, and integrate massive amounts of data. We will simplify your vitality today and supply you with an outline of the...

Dimensionality Reduction (DR) is the pre-processing step to remove redundant features, noisy and irrelevant data, in order to improve learning feature accuracy and reduce the training time. What is Dimensionality Reduction? Why is Dimensionality Reduction required? Common Dimensionality Reduction Techniques Conclusion [contact-form-7...

Data cleaning is the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. What is Data cleaning? What is the difference between Data cleaning and Data change? How would you clean Data? Does the Data appear to be legit? For what reason is Data Cleansing So Important? How Data...

Normalization is the process of organizing data in a database. This includes creating tables and establishing relationships between those tables according to rules designed both to protect the data and to make the database more flexible by eliminating redundancy and inconsistent dependency. What is Data Normalization? Data Normalization...

Yield in Python can be used like the return statement in a function. When done so, the function instead of returning the output, it returns a generator that can be iterated upon. What is Python yield? Syntax When to use Yield Instead of Return in Python Yield vs. Return What are Generators in Python? Difference between Normal function v/s...

Dimensionality reduction refers to techniques for reducing the number of input variables in training data. When dealing with high dimensional data, it is often useful to reduce the dimensionality by projecting the data to a lower dimensional subspace which captures the “essence” of the data. What is Dimensionality Reduction? The Curse of...

In simple language, Inferential Statistics is used to draw inferences beyond the immediate data available. With the help of inferential statistics, we can answer the following questions: Making inferences about the population from the sample. Concluding whether a sample is significantly different from the population. What Are Inferential...

Data collection is defined as the procedure of collecting, measuring and analyzing accurate insights for research using standard validated techniques. Introduction What is Data Collection? Why Should You Collect Data? What are the Different Types of Data Collection? Effective Data Collection Methods Privacy & Trust Conclusion [contact-form-7...