Rohith Teja M's Projects
Code relating to the article How To Automate and Simplify Your Machine Learning Experiment Workflow
Bitcoin Forecast
Computer vision project on camera calibration and other tasks
Data mining project - data cleaning, feature extraction, model building, hyperparameter tuning with cross validation, PCA
Image denoising and encoding of images using deep autoencoders
Kaggle NLP competition (2021) among several universities in France (secured 8th place overall)
Graph Neural Network implementation using DGL and benchmark datasets
Docker container for running the spam detection experiment
GANs to generate new images for MNIST and CIFAR10 datasets
Hidden markov models to calculate the probability of future observations
Levenshtein distance of name "Luca"
Image augmentation of birds dataset with neural networks and also some pretrained models
Experimental analysis of KNN by using waveform dataset
Kernel Versions of various machine learning algorithms
MLflow pipeline of twitter spam detection problem
Multi Arm Bandit problem using Epsilon Greedy, UCB and Thomson sampling methods
Movie review analysis using NLTK library
Code for some of the algorithms used in Optimal Transport like subspace alignment and sinkhorn algorithms
Optimization using CVXPY python library
Pyspark functions on tabular datasets (RDD and Matrix operations)
GCN, GAT implementation using pytorch geometric on the cora dataset
Reinforcement Learning with policy and value iteration algorithms and also deep Q learning
Data Scientist
Portfolio
Data analysis on graph dataset built from twitter user data
Spam detection task on twitter dataset
Case study on store item demand forecasting
Text Formatting project using various algorithms like Dynamic Programming, Greedy method etc