Lokeshrathi

Lokeshrathi's Stars

• microsoft/ML-For-Beginners

  12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

  Language:HTML70.3k1k13614.7k

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.5k3.3k8914.7k

• ageron/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.

  Language:Jupyter Notebook28.2k65651212.8k

• ddbourgin/numpy-ml

  Machine learning, in numpy

  Language:Python15.8k461503.8k

• Stability-AI/StableLM

  StableLM: Stability AI Language Models

  Language:Jupyter Notebook15.8k201761k

• jupyter/notebook

  Jupyter Interactive Notebook

  Language:Jupyter Notebook11.9k3275k5.1k

• abhishekkrthakur/approachingalmost

  Approaching (Almost) Any Machine Learning Problem

  7.6k146661.1k

• mindee/doctr

  docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning.

  Language:Python4.1k43375458

• nlp-with-transformers/notebooks

  Jupyter notebooks for the Natural Language Processing with Transformers book

  Language:Jupyter Notebook4k631011.2k

• khanhnamle1994/cracking-the-data-science-interview

  A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

  Language:Jupyter Notebook3.8k7521.1k

• spark-examples/pyspark-examples

  Pyspark RDD, DataFrame and Dataset Examples in Python language

  Language:Python1.2k389904

• abhishekkrthakur/autoxgb

  XGBoost + Optuna

  Language:Python684182490

• mattharrison/effective_xgboost_book

  Language:Jupyter Notebook27342232

• seanmcrae/Hands-On-Machine-Learning-Book

  Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow FREE Copy of Updated Version on Best Selling Python for Data Science Book O'Reily has released a FREE a copy of "Hands-on Machine Learning with Scikit-Learn, Keras, and TensorFlow" by Aurélien Géron.

  8946

• JuliaSokolova/amazon_-eCommerce_optimization

  Analyzed results of several advertising campaign of big consumer brands on amazon.com to look for potential ways of optimization to improve ROIs.

  Language:Python18416

• Fraud-Detection-Handbook/simulated-data-raw

  154012

• leventbass/linear_regression

  Implementing linear regression using numpy from scratch

  Language:Jupyter Notebook13318

• NabajeetBarman/AppliedDataProgramming

  Language:Jupyter Notebook12203

• aanis/Calculus-Made-Easy

  10102

• shrutitaware/Ace-the-Data-Science-Interview-by-Huo-Singh

  Practice solutions for questions from ATDSI by Nick Singh & Kevin Huo

  9200

• kaur-anupreet/boston-housing-price-prediction

  Predicted house prices using multiple linear regression. Used back elimination to further improve the model and select features based on p-value and adjusted R squared value.

  Language:Jupyter Notebook3003

• Lokeshrathi/Python-Strings-Problems-with-Solution

  Coding Interview Questions on Python.

  Language:Jupyter Notebook3100

• Lokeshrathi/airflow

  Apache Airflow - A platform to programmatically author, schedule, and monitor workflows

  Language:Python2000

• Lokeshrathi/Exploring-NBA-2013-stats

  NBA players clustering and Points prediction

  Language:Jupyter Notebook2100

• Lokeshrathi/Heart_Disease_Prediction

  Classification Problem

  Language:Jupyter Notebook200

• Lokeshrathi/NLP_basics

  Language:Jupyter Notebook210

• Lokeshrathi/Solving_classification_problems

  Language:Jupyter Notebook210

• amantomar1/Hofstede

  This program shows basic hofstede insights for the countries chosen, and also displays comparison of 2/3 countries in a bar graph plotted.

  Language:Jupyter Notebook1101

• Lokeshrathi/Complete-Classification-Guide

  This notebook provides you insights on Data cleaning, Data preprocessing, Classification modeling

  Language:Jupyter Notebook1100

• Lokeshrathi/pandas-python

  Language:Python110