Data science Training Course

Machine Learning: Python, sklearn, Tensorflow, Keras, Numpy, Pandas, Scipy, Scikit Gradient Search, Stochastic Gradient Descent, Backpropagation, Computer Vision, Image Classification, Natural Language Processing (NLP), Optical Character Recognition (OCR), Handwritten letter recognition, Face Detection, Human action detection, Git, Linux Shell Scripts and Commands

Deep Learning: Neural Networks, Tensorflow, Keras, CNN, RNN, LSTM, Chatbot from scratch, Speech to Text Conversion

Reinforcement Learning: Agents, Multi-Agents, QLearning, MDP, Markov chains, State Matrix, SARSA, Open AI, Swarm Intelligence, Rastrigin function, TFLearn, Chain RL, Frozen Lake Simulation, Deep Q with Keras and TensorFlow

Robotics Lab: Implementing Robots using Microcomputers and Robotic kits, Training Robots using RL, Humanoid Robots, Robotic Arm with AI, Self-Moving car/objects, Robotic Process Automation