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100daysofmlcode

Learning Machine Learning and showcasing my work for 100 Days.

advanced-statistical-methods

My learning about various Statistical Learning methods and it's implementation using R or Python.

amazon-sagemaker-examples

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

applied-ai-course

Applied ai course is a online platform to learn about data science. In this repository include assignments ,projects, coding etc. done in the course

applied-ml

📚 Papers & articles of companies sharing their work on applied data science & machine learning.

av_wns

Repo for 5th place solution for WNS Hackathon on AnalyticsVidhya

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

awesome-deep-learning

A curated list of awesome Deep Learning tutorials, projects and communities.

awesome-machine-learning-interpretability

A curated list of awesome machine learning interpretability resources.

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

aws-mlu-explain

Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/

beautiful_facee_generator

bike_renting

The objective of this project is to predication of bike rental count

churn_reduction

The objective of this case is to predict the whether the customer will churn or not.

co-learning-lounge

Welcome to the one point community-driven encyclopedia for anything in technology.

codingchallanges

Repo of data science coding challenges for various companies

college_statistics_with_python

We use Python to get intuition on complex concepts, empirically test theoretical proofs, or build algorithms from scratch

columbiax-statistical-thinking-for-data-science

This repo contains some R learning activities we created for the course I for the ColumbiaX series on Data Science and Analytics on edX.

competitive_data_science

This is a course provided by Coursera

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

computer-science

:mortar_board: Path to a free self-taught education in Computer Science!

computer-vision-opencv3-udemy

Computer Vision Intro OpenCV 3 in Python & Machine Learning - University of Edinberg

cqf-1

The CQF program

credit-risk-modeling-in-python

Modeled the credit risk associated with consumer loans. Performed exploratory data analysis (EDA), preprocessing of continuous and discrete variables using various techniques depending on the feature. Checked for missing values and cleaned the data. Built the probability of default model using Logistic Regression. Visualized all the results. Comput

credit_risk_analysis

In 2019, more than 19 million Americans had at least one unsecured personal loan. Personal lending is growing at an extremely fast rate, and FinTech firms need to go through an organize large amounts of data in order to optimize lending. Python will be used to evaluate several machine learning models to predict credit risk. Algorithms such as Rando

cs-video-courses

List of Computer Science courses with video lectures.

dat8

General Assembly's Data Science course in Washington, DC

data-pipelines-with-apache-airflow

Code for Data Pipelines with Apache Airflow