Fahad vadakkumpadath's repositories
tokenizers
š„Fast State-of-the-Art Tokenizers optimized for Research and Production
awesome-covid-19-data-science
Amazing models, datasets, APIs, websites, etc. for tackling COVID-19. All resources have to relate to data science or machine learning; for everything else, please check out awesome-coronavirus.
awesome-mlops
A curated list of references for MLOps
Data-Science--Cheat-Sheet
Cheat Sheets
data-science-template
Template for a data science project
Databricks-Apache-Spark-2X-Certified-Developer
Databricks - Apache Sparkā¢ - 2X Certified Developer
Docker-Jenkins
testing Jenkins integration
Employee-Attrition-Rate
This Data set consists of information about an employee, There are attributes such as education level, experience level, age, salary, gender, department, degree, ratings, work ethics, current company working experience, job level, job role, attrition rate, employee id, employee satisfaction etc to take some serious important decisions for the company regarding the company.
Facial-Expression-Recognition
Classify each facial image into one of the seven facial emotion categories considered using CNN based on https://www.kaggle.com/c/challenges-in-representation-learning-facial-expression-recognition-challenge
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Housing-price-Advanced-regressionn
Ask a home buyer to describe their dream house, and they probably won't begin with the height of the basement ceiling or the proximity to an east-west railroad. But this playground competition's dataset proves that much more influences price negotiations than the number of bedrooms or a white-picket fence. With 79 explanatory variables describing (almost) every aspect of residential homes in Ames, Iowa, this competition challenges you to predict the final price of each home.
M5-forcast---accuracy
This is one of the two complementary competitions that together comprise the M5 forecasting challenge. Can you estimate, as precisely as possible, the point forecasts of the unit sales of various products sold in the USA by Walmart? If you are interested in estimating the uncertainty distribution of the realized values of the same series, be sure to check out its companion competition
Machine-Learning-with-Python
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
MachineLearning-iamJustAStudent
I Am Just A Student : Let's study AI/ML together. #iamJustAStudent
NLP-tutorials
This folder contains NPL tutorials. Contains pytorch basics, python OOPs, Deep learning concept for Natural language processing
OOP-ML
OOP-ML
Retinanet-Tutorial
A tutorial on using the Retinanet deep network to train an object detector on your own data
snowflake-stored-procedures
this repo contains tricks and techniques to use in a snowflake stored procedures
SQL-Data-Analysis-and-Visualization-Projects
SQL data analysis & visualization projects using MySQL, PostgreSQL, SQLite, Tableau, Apache Spark and pySpark.
Telecom-churn-case-study-
This project is a very good explanation for Logistic Regression algorithm