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Hi there 👋

I am Vidyasagar Bhargava. I am a Data Science Professional with more than 10 years of experience in building Machine Learning and Data Analytics based solutions. I am interested in using mathematics to solve deep problems in business as well as scaling machine learning, statistical methods and others forms of analytics to large datasets.

Vidyasagar Bhargava's Projects

dliss-tutorial icon dliss-tutorial

Tutorial for International Summer School on Deep Learning, 2019

edu icon edu

Educational materials on deep learning by Weights & Biases

electric-vehicle-battery-range-prediction icon electric-vehicle-battery-range-prediction

Predict remaining useful lifetime of an electric car accurately to help drive owner satisfaction and future purchases. This solution comprises analyzing the vast quantity of telemetry data over time and building a Machine Learning model to predict the remaining useful life(RUL) of an electric vehicles EVs at each point in time of the operation of said vehicle. The customer is the largest automotive manufacturing company in India, by market share. The customer designs, builds, and delivers electric vehicles (EVs).

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

fastbook icon fastbook

The fastai book, published as Jupyter Notebooks

fsdl-text-recognizer-2022-labs icon fsdl-text-recognizer-2022-labs

Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-stack-deep-learning/fsdl-text-recognizer-2022

gordicaleksa icon gordicaleksa

GitHub's new feature: repo with the same name as your GitHub name initialized with README.md will show on your landing page!

gpt3-sandbox icon gpt3-sandbox

The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.

handson-ml2 icon handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

infersent icon infersent

TensorFlow implementation of FAIR's InferSent (Supervised Learning of Universal Sentence Representations from Natural Language Inference Data)

isl-python icon isl-python

Solutions to labs and excercises from An Introduction to Statistical Learning, as Jupyter Notebooks.

learn_pytorch icon learn_pytorch

Learning pytorch from basic to advance with practical examples

learnml icon learnml

This is the Study Guide for Learn Machine Learning in 3 Months (PyTorch Curriculum) by Siraj Raval on Youtube

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