salman104,github

ai-resources

A curated list of AI resources and related fields

algorithmic-trading-challenge---kaggle

Algorithmic Trading Challenge implemented as part of the term project for Foundations of Machine Learning at NYU Courant in Fall 2016 (http://cs.nyu.edu/courses/fall16/CSCI-GA.2566-001/index.html/)

credit-card-fraud_j2d_project_python

Apply 7 common Machine Learning Algorithms to detect fraud, while dealing with imbalanced dataset

data-science-python-course

Course content from UCSD, project completed independently

dse220x

UCSanDiegoX: DSE220x : Machine Learning Fundamentals Course

indeed-web-scraping

Data Science Job Outlook/Topic Modeling with LDA

introduction-to-machine-learning

This repo will house all our course material and code snippets from the Introduction to Machine Learning Class

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

kaggle-house-prices-advanced-regression-techniques

Udacity capstone project: Kaggle competition on house prices prediction using advanced regression techniques

kaggle-houseprices

Kaggle Kernel for House Prices competition https://www.kaggle.com/massquantity/all-you-need-is-pca-lb-0-11421-top-4

kaggle-worlddevelopmentindicators

kaggle_challenger

Machine Learning / Deep Learning

lda_job_search

Scraping Indeed for job adverts and applying NLP and topic modelling (LDA)

machine-learning-project

ML Final project kaggle competition https://www.kaggle.com/c/aerial-cactus-identification

machine_learning_projects

This repository contains my machine learning projects on kaggle data.The jupyter notebooks here serve as excellent tutorials. I have embarked on a career as video course publisher. So these notebooks might end up as lesson materials.

machinelearning-project

Kaggle Competitions for Machine Learning course

practicalmachinelearning

My ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free(as speech not free food) or open-source.

predictingnationalhappiness

Using the World Development Indicator Dataset to see which factors are most predictive of a nation's happiness

python-data-science-projects-ucsd

UCSD Micro Masters Class, Python for Data Science, Submitted Projects

python-machine-learning-book

The "Python Machine Learning (1st edition)" book code repository and info resource

scrapping_indeed_job_data

Scrapping Indeed Job postings with different location

titanic_kaggle

The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.

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