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/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges
swekul/data-science-portfolio-1
Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.
swekul/ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.
swekul/SQL
SQL Notes
swekul/Feature-Selection
swekul/healthcare_capstone
Capstone Project on Creating a Model to Predict Readmission Rates
swekul/EDA
EDA
swekul/practicalAI
A practical approach to learning machine learning.
swekul/Learning-Spark
Here, I have implemented basics of RDD in spark, Decision Trees in spark, Recommender System in Spark, K-Means Clustering in Spark and a small search engine in spark using TFIDF for leaning spark.
swekul/Learning-Tensorflow
This repository contains basic code to learn Tensorflow along with the implementation of MLP on MNIST handwritten digit data-set using purely Tensorflow.
swekul/XGBoost-lambdaMART
Running LambdaMART using XGBoost
swekul/Music-Generation-Using-Deep-Learning
A Deep Learning Case Study to Generate Music Sequences using Char RNN, where each RNN is an LSTM unit.
swekul/Real-Time-Facial-Expression-Recognition
A Deep Learning Case Study to detect one of the Seven Human Facial Expressions in Still Images and in Real Time. This model is also trained enough to Detect Facial Expressions of Animated Images.
swekul/fully_convolutional_networks
Implementation of various fully convolutional networks in Keras
swekul/Implementing-Stochastic-Gradient-Descent
Manual Implementation of SGD then comparing the result with Sklearn's implementation using Boston Home Prices Dataset.
swekul/Time-Series-Forecasting
Understanding time series forecasting
swekul/Python-programming-exercises
100+ Python challenging programming exercises
swekul/Self-Driving-Car
A Deep Learning Case Study to predict the steering angle of a car--where input is image of road--using Convolutional Neural Networks.
swekul/statistics
swekul/infrastructure-class
DevOps & Cloud Infrastructure Course (UST SEIS 665)
swekul/Human-Activity-Recognition
A Machine Learning & Deep Learning Case Study to detect the type of activity--performing by a human subject--by using his/her smartphone sensors.
swekul/sklearn_tutorial
Materials for my scikit-learn tutorial
swekul/Artificial-Intelligence-for-Banking
This repo contains all the details for the use cases around banking and finance.
swekul/Movie_Success_Pred_CStn2
Capstone 2: Predict Movie Success / Box office
swekul/Personalized-Cancer-Diagnosis
A Machine learning Case Study to detect type of mutation in a gene using gene, variation and text.
swekul/data-science-question-answer
A repo for data science related questions and answers
swekul/Segmentation-Indian-Roads
A deep Learning mdoel for segmentation for India roads, finetuned for Indian conditions
swekul/Advanced-Machine-Learning-and-Signal-Processing
Python and SparkML
swekul/EAS503_Fall
swekul/a-2017
Public Repository for cs109a, 2017 edition