Definition of MLOps Need for MLOps in Industry ML Lifecycle Management Continuous Integration/Deployment (CI/CD) Version Control for Models Monitoring and Logging Tools and Frameworks Real-world Use Cases Challenges and Solutions Summary Definition of MLOps MLOps, short for Machine Learning Operations, is a set of...

Introduction to AI in EdTech Personalized Learning Systems Automated Grading Systems Intelligent Tutoring Systems Chatbots in Education Predictive Analytics Virtual Reality with AI AI for Special Needs Education Ethics and Privacy Concerns Challenges in Adoption Future Outlook Conclusion Introduction to AI in...

Introduction to Natural Language Processing Text Classification Project Sentiment Analysis Named Entity Recognition Chatbot Development Text Summarization Spell Checker Project Language Translation Text-to-Speech System Conclusion Introduction to Natural Language Processing NLP Projects for Beginners are an...

Introduction to Perceptron History and Background Perceptron Architecture Mathematical Formulation Learning Algorithm Limitations of Single Layer Perceptron Multi Layer Perceptron (MLP) Perceptron in Neural Networks Use Cases and Examples Implementation in Python Perceptron Training Visualization Summary ...

Overview of Machine Learning Supervised Learning Models Unsupervised Learning Models Semi Supervised Learning Reinforcement Learning Decision Trees and Random Forests Support Vector Machines (SVM) Neural Networks Ensemble Models Model Selection and Evaluation Future Trends Conclusion Overview of Machine Learning...

Introduction to Gradient of a Function Role in Optimization Mathematical Definition Partial Derivatives and Multivariable Functions Gradient Descent Algorithm Variants of Gradient Descent Applications in Machine Learning Visualization of Gradients Gradient vs Directional Derivative Challenges in Gradient Computation Summary...

Introduction to Recommendation Systems in ML Collaborative Filtering Content Based Filtering Hybrid Methods Similarity Metrics (Cosine, Pearson) Cold Start Problem Real-Time Recommendation Engines Tools and Libraries (Surprise, LightFM) Business Applications (Netflix, Amazon) Conclusion Introduction to Recommendation...

What is Time Series Data? Components of Time Series (Trend, Seasonality) Time Series Decomposition Moving Averages and Smoothing Autocorrelation and ACF/PACF ARIMA Model LSTM for Time Series Forecasting Evaluation Metrics for Time Series Stationarity and Differencing Case Studies in Finance and Weather Conclusion ...

Introduction to Evaluation Metrics Precision and Recall Explained Definition of F1 Score F1 Score Formula F1 Score in Imbalanced Datasets Macro vs Micro Averaging F1 Score vs Accuracy When to Use F1 Score ROC-AUC vs F1 Case Studies and Use Cases Conclusion Introduction to Evaluation Metrics In the world of machine...

Importance of Feature Engineering Feature Extraction vs Selection Handling Missing Data Encoding Categorical Variables Normalization and Scaling Creating New Features Feature Selection Techniques Dimensionality Reduction (PCA, LDA) Interaction and Polynomial Features Automated Feature Engineering Tools Conclusion ...