https://github.com/siddhantprateek/machine-learning-resources

Machine Learning Resources
https://github.com/siddhantprateek/machine-learning-resources

best-practices clustering-algorithm data-analysis deep-learning in-progress journey linear-regression machine-learning machine-learning-algorithms neural-language-modelling neural-language-processing neural-network numpy python3 read reinforcement-learning-algorithms tensorflow visualisation

Last synced: about 1 month ago
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Machine Learning Resources

• Host: GitHub
• URL: https://github.com/siddhantprateek/machine-learning-resources
• Owner: siddhantprateek
• Created: 2021-06-22T07:05:03.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2021-07-31T04:22:45.000Z (about 4 years ago)
• Last Synced: 2025-04-10T01:36:45.113Z (6 months ago)
• Topics: best-practices, clustering-algorithm, data-analysis, deep-learning, in-progress, journey, linear-regression, machine-learning, machine-learning-algorithms, neural-language-modelling, neural-language-processing, neural-network, numpy, python3, read, reinforcement-learning-algorithms, tensorflow, visualisation
• Language: Python
• Homepage:
• Size: 73 MB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          

 
Machine Learning Journey



 



## MLOps and Natural Language Processing

- [x] **Data Discovery and Visualization**

    - [x] > Numpy and array computation

    - [x] > Processing Images with Numpy

    - [x] > Data Acquisition - Web Scrapping, Web APIs

    - [x] > Data Analysis using Pandas

    - [x] > 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