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Machine Learning Journey

aws

MLOps and Natural Language Processing

  • Data Discovery and Visualization

    • > Numpy and array computation
    • > Processing Images with Numpy
    • > Data Acquisition - Web Scrapping, Web APIs
    • > Data Analysis using Pandas
    • > Importing and Exporting Data
  • Classical Machine Learning Algorithms

    • > K-Nearest Neighbour search
    • > K-means clustering
    • > Linear Regression
    • > Logistic Regression
    • > Decision trees and Ensembling Learning
    • > Random Forest Classifiers
    • > Support Vector Machines
  • Natural Language Processing

    • > Text generation using Markov Chain
    • > Text classification using Naive Bayes
    • > Deploy ML model with flask on heroku
    • > Create a facebook chatbot with flask

Deep Learning with Linear, Image and Signal Processing

  • Deep Neural Networks

    • > Neural Architectures and Training
    • > Deep Learning with Keras
    • > Convolutions and the GoogLeNet
    • > Transfer Learning with ResNet and AlexNet
    • > Dimensionality Reduction using Auto-encoders
  • Advanced Deep Learning

    • > Recurrent Neural Network
    • > Long Short Term Memory
    • > Music Generation using LSTM
    • > Predict Gender from name with LSTM
    • > Generative Adversarial Nets
  • Reinforcement Learning

    • > Foundational Reinforcement Learning
    • > Evolutionary Algorithms and Genetic Algorithms
    • > Deep Q-learning and training
    • > Training on OpenAI Gym Simulators