Pinned Repositories
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
bank-marketing-analysis
Response model of the Portugese bank marketing analysis
Credit-Risk-Analysis
data-science-masters
Self-study plan to achieve mastery in data science
Demo
demo
DS-Career-Resources
Compilation of resources and insights that helped me on my journey to data scientist
Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
LoanDefault-Prediction
LoanDefault-Prediction
Price-Optimisation
Social-Graph-Link-Prediction
A Machine Learning Case Study to predict the links in a social graph to recommend friends/connections/followers.
swekul's Repositories
swekul/geo-demographic-segmentation
Predicting customer churn using Keras.
swekul/learn-ab-and-multivariate-testing
🆎 Tutorial on A/B and multivariate testing :heavy_check_mark:
swekul/numerical-linear-algebra
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
swekul/Churn-prediction
Machine Learning to predict the possibility of customer churning
swekul/examples
swekul/Naive_bayes
swekul/word_2_vec
An implementation of the Word 2 Vec algorithm
swekul/RetailSales_CaseStudy
Understand retail sales data and develop better forecasting using Python
swekul/malware-detection
Malware Detection and Classification Using Machine Learning
swekul/NYC-Data-Science-Academy
Collection of projects done at NYC Data Science Academy 12-week full time data science bootcamp.
swekul/bank-marketing-analysis
Response model of the Portugese bank marketing analysis
swekul/Loan-Defaulter-Prediction-Machine-Learning
Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost
swekul/CustomerChurn
Customer Chrun Prediction - Retail Store
swekul/banking-class
Parse and categorize banking transactions
swekul/TopDeepLearning
A list of popular github projects related to deep learning
swekul/Google-Interview-University
A complete daily plan for studying to become a Google software engineer :)
swekul/Doing-frequentist-statistics-with-Scipy
Repository for the PyData DC 2016 tutorial
swekul/TakeHomeDataChallenges
My solution to the book <A collection of Data Science Take-home Challenges>
swekul/Kaggle-Competitions
All Kaggle competitions
swekul/machine-learning-programming-assignments-coursera-andrew-ng
Solutions to Andrew NG's machine learning course on Coursera
swekul/Demo
demo
swekul/code
swekul/pycon-2016-tutorial
Machine Learning with Text in scikit-learn
swekul/store_sale
1000+ Store Sale Forecasting (Rossmann Kaggle Data Science Challenge, RMSE 0.11)
swekul/Price-Optimisation
swekul/CS231N
swekul/Courses_General
swekul/sliderule
It includes all the excercises completed for Slide Rule course
swekul/Pandas-basics
Pandas basics.
swekul/Python-and-Numpy-Basics
Basics of Python and Numpy .