Rajesh Idumalla's starred repositories
determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
Bloom-Filter
Building a Bloom Filter on English dictionary words
Spam-Email-using-NNET
Building Spam Email Classifier using NNET. Please read README.md for more info. Thanks
Classification-tree-to-the-housing-data-using-the-R-package-rpart
This project about the fitting a classification tree to the housing data sing R package rapart.
GBM-Classification-on-Spam-Email
This project about the GBM classification model on spam email data set and model optimisation.
Classification-with-one-hidden-layer
Implementing a 2-class classification neural network with a single hidden layer. Using units with a non-linear activation function such as tanh. Computing the cross entropy loss. Implementing forward and backward propagation.
Cat-Recognition-using-Logistic-Regression-with-a-Neural-Network-mindset
In this Cat recognition project I am building the general architecture of a learning algorithm, including: Initializing parameters, Calculating the cost function and its gradient, Using an optimization algorithm (gradient descent), Gather all three functions above into a main model function, in the right order.
Image-Classification
An application to recognise the cat images with the Accuracy of 80 %. From this project, I've learn how to: Build the general architecture of a learning algorithm, including: Initializing parameters Calculating the cost function and its gradient Using an optimization algorithm (gradient descent) Gather all three functions above into a main model function, in the right order. Build and apply a deep neural network to supervised learning.
Football-Kicks-Prediction-using-Deep-Learning
For this project, I am going to recommend positions where France's goal keeper should kick the ball so that the French team's players can then hit it with their head using deep learning regularisation and dropout methods.
Spark-Applied-Data-Analysis-Vietnam-War
This project is about applying data analysis on Vietnam war data using Spark on google colab environment.