Create Virtual Env in Python
Run ML on AMD GPU
Machine Learning & Types: Supervised Learning, SemiSupervised Learning, unsupervised Learning, Reinforcement Learning, Generative AI

Terms: AI vs ML vs DL, Activation Function, Bias/Sampling Bias, Conda, CNTK, Overfitting, Underfitting, Optimizer, Large Language Model(LLM), Layer, Learning Types, Loss Function, Matplotlib, Metrics, Neuron, Neural Network, Tensor: Add Vector & matrix, Dot Product, Tensor Reshaping stochastic gradient descent (SGD) Tensorflow Variance

Code
  Opencv: Draw rectangle around faces
  speech_recognition: Convert Voice to Text
  OpenAI APIs: Call openai APIs from code/Postman

ML Model
  Calories Predictor during workout using: DecisionTreeRegressor, Random Forest Regression model

ML Libraries
  Keras(build Neural Networks): keras, Comparison(Networks vs. Traditional ML Models(scikit-learn)), Layers & APIs(Dense, Convolutional..)
  Code: Classify grayscale images into(0 to 9), Classify movie Review as +ve or -ve based on 50k review.
  Pandas:
  Introduction(series, dataframes), Conversion(dataframe to numpy array), Plots(Histograms, boxplot and save in png file)
  RW(Data from csv, excel file: columns, read_csv(), describe(), dropna())
  scikit-learn(build light weight models) Introduction
  Code: Anomaly Detection using scikit learn
  Tensorflow

Langchain