tejasbangera's Stars
microsoft/IoT-For-Beginners
12 Weeks, 24 Lessons, IoT for All!
yangshun/tech-interview-handbook
π― Curated coding interview preparation materials for busy software engineers
ankurchavda/SparkLearning
A comprehensive Spark guide collated from multiple sources that can be referred to learn more about Spark or as an interview refresher.
eugeneyan/applied-ml
π Papers & tech blogs by companies sharing their work on data science & machine learning in production.
The-AI-Summer/Deep-Learning-In-Production
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
abhishek-ch/around-dataengineering
A Data Engineering & Machine Learning Knowledge Hub
krishnonwork/mathematical-methods-in-deep-learning-ipython
Python code (in the form of Jupyter ipython notebooks) to support the book "Math and Architectures of Deep Learning" (Krishnendu Chaudhury with Ananya Ashok, Sujay Narumanchi, Devashish Shankar).
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
siddhantb99/Stock-Market-Price-Prediction
UNDER CONSTRUCTION //Implemented close price prediction on Nifty 50 stocks using Weighted Averaging, boosting on LSTM, SVR, ARIMA.
somyadwivedi-mriirs/Churn-Prediction-Model
Azure/MachineLearningNotebooks
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
jwasham/coding-interview-university
A complete computer science study plan to become a software engineer.
uvipen/Super-mario-bros-PPO-pytorch
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
solliancenet/udacity-intro-to-ml-labs
awesomedata/awesome-public-datasets
A topic-centric list of HQ open datasets.
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
seahrh/liftoo
Object-oriented design of a lift system
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
udacity/deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
facebookresearch/fairseq
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
interpretml/interpret-text
A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the result with a built-in dashboard.
interpretml/interpret
Fit interpretable models. Explain blackbox machine learning.
opendp/smartnoise-samples
Code samples and documentation for SmartNoise differential privacy tools
mikesprague/udacity-nanodegrees
:mortar_board: List of Udacity Nanodegree programs with links to the free courses in their curricula
xeoneux/30-Days-of-Code
π¨βπ» 30 Days of Code by HackerRank Solutions in C, C++, C#, F#, Go, Java, JavaScript, Python, Ruby, Swift & TypeScript. PRs Welcome! π
PracticalDL/Practical-Deep-Learning-Book
Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge
kojino/120-Data-Science-Interview-Questions
Answers to 120 commonly asked data science interview questions.
careercup/CtCI-6th-Edition-Python
Cracking the Coding Interview 6th Ed. Python Solutions
jbaltop/57_Challenges
Exercises for Programmers (μ½λ© νΈλ μ΄λ)