tanishqsinghchauhan Goto Github PK

100-days-of-machine-learning

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

applied-deep-learning

Applied Deep Learning Course

asr-transformer

Transformer for Automatic Speech Recognition

augmented-convlstm

A statistical downscaling approach using ConvLSTMs.

automatic-speech-recognition

Automatic Speech Recognition System using Transformer, CNN and RNN models

automatic-speech-recognition111111111

An automatic speech recognition transformer for converting swedish voice to text.

cardiovascular-disease-prediction

Data Analysis and prediction of Cardiovascular Diseases

colorizer

Add colors to black and white images with neural networks (GANs).

comparative-analysis-of-different-classification-algorithms

This project aims at implementing different machine learning classification algorithms on a selected dataset and analyzing the results in terms of comparison among the performance of those algorithms. After selecting a dataset, four classifications algorithm namely Decision Tree Induction, Random Forest Classifier, Naïve Bayes Classifier, and Suppo

crackingmachinelearninginterview

A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local companies. Do this to Ace your Machine Learning Engineer Interviews

data-science-interview-questions-answers

Curated list of data science interview questions and answers

data-science-interviews

Data science interview questions and answers

data-science-prep

Problems from https://datascienceprep.com/

data-structures-and-algorithms

🍟 Repository contains a list of most asked DSA interview questions from popular websites LeetCode , Geeks for Geeks ,InterviewBit and from Various other popular DSA sheets

data_science_ml_dl_nlp_interview_qus

Data Science, Machine Learning, Deep Learning, NLP, Python & Library's cheat Sheet - Interview Questions & Notes

deep-learning

In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

dl4ds

Deep Learning for empirical DownScaling. Python package with state-of-the-art and novel deep learning algorithms for empirical/statistical downscaling of gridded data

dsgan

a GAN for precipitation downscaling

employee-attrition-prediction

employee_attrition_prediction

CSE343, Machine Learning Course Project, IIIT Delhi, Monsoon 2021

extra-projects-

gan

image-colorisation-using-gans

image-colorization-using-gans

Colorization of greyscale images (or similar, single channeled) images using GANs

interview-question-data-science-

keras-srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network implemented in Keras

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

machine-learning-interview

Machine Learning Interviews from FAAG, Snapchat, LinkedIn.

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.