Demo

Numpy

Pandas

Matplotlib

Implmenation With yfinance

Machine Learning with Scikit-learn, TensorFlow, Keras, PyTorch and XGBoost With Anaconda

Linear Regression and Regularization Techniques

Logistic Regression and Classification Models

Decision Trees and Ensemble Methods

Support Vector Machines (SVM)

Clustering Algorithms: K-Means, Hierarchical Clustering

Introduction to Neural Networks

Activation Functions and Loss Functions

Convolutional Neural Networks (CNNs)

Recurrent Neural Networks (RNNs)

Transfer Learning and Fine-Tuning Pre-trained Models

Text Preprocessing and Tokenization

Word Embeddings: Word2Vec, GloVe

Sequence Models: LSTM, GRU

Attention Mechanisms

Text Generation and Sentiment Analysis

Introduction to Reinforcement Learning (RL)

Markov Decision Processes (MDPs)

Q-Learning and Deep Q-Networks (DQN)

Policy Gradient Methods

Applications of Reinforcement Learning in AI

Model Deployment Strategies

Containerization with Docker

Scalable Deployments with Kubernetes

Serving Models with Flask and FastAPI

Monitoring and Maintaining Production Models

Time Series Analysis and Forecasting

Anomaly Detection Techniques

Bayesian Methods in Machine Learning

Graph Analytics and Network Analysis

AutoML and Hyperparameter Tuning

Hands-on Capstone Project to Apply Learned Concepts

Guidance and Mentorship from Instructors

Presentation of Project Findings and Results

Peer Review and Feedback Sessions

Final Exam Preparation

Interview Questions

Final Exam