maz2198

Applied-Machine-Learning-Explainability-Techniques

Applied Machine Learning Explainability Techniques, published by Packt

Data-Visualization

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Data Visualization Course.

datascience-fails

Collection of articles listing reasons why data science projects fail.

Financial-Analytics

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Financial Analytics course.

ForecastingTimeSeries

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Forecasting Time Series courses

genetic-feature-selection

Experiment using genetic algorithms for feature selection in a machine learning task

HealthAnalytics

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program Health Analytics Course.

Natural-Language-Processing

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Natural Language Processing course.

Social-Network-Analysis

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program; Social Network Analysis course.

Spark

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program Spark course using PySpark.

maz2198/Financial-Analytics

This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data's Financial Analytics course.

maz2198/Applied-Machine-Learning-Explainability-Techniques

Applied Machine Learning Explainability Techniques, published by Packt

maz2198/machine-learning-interview

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

maz2198/acv00

ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any model or data and different Shapley Values for tree-based models.

maz2198/applied-ml

📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

maz2198/awesome-adtech

😎An awesome list of awesome adtech things curated by the community.

maz2198/best-of-ml-python

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

maz2198/causal_inference_python_code

Python code for part 2 of the book Causal Inference: What If, by Miguel Hernán and James Robins

maz2198/Credit-Risk-Analysis

This is a project to analysis a risk of customer credit data through clustering algorithm to cluster the data to good credit risk or bad credit risk and calculating total credit score through credit scorecard analysis. The chosen customer is the data which contain Good Credit Risk label and Accepted Label

maz2198/Data-Science-Interview-Resources

A repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.

maz2198/data_1

maz2198/DrivenDataCompetitions

maz2198/GHOST

maz2198/github-slideshow

A robot powered training repository :robot:

maz2198/imodels

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

maz2198/imylu

Pure Python implementation of machine learning algorithms

maz2198/Interpretable-Machine-Learning-with-Python

Interpretable Machine Learning with Python, published by Packt

maz2198/interviews.ai

It is my belief that you the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

maz2198/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

maz2198/machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

maz2198/maz2198

My personal repository

maz2198/MEDIUM_NoteBook

Repository containing notebooks of my posts on Medium

maz2198/meteostat-python

Access and analyze historical weather and climate data with Python.

maz2198/ML-based-feature-selection

This notebook is a one stop shop for ML based feature selection for classification purpose. Once the master data is prepared, we can use this notebook to try out 8 feature selection techniques and combine their results

maz2198/Predict_Clicked_Ads_Customer_by_using_Machine_Learning

A model for predicting users who have the potential to click Product Ads.

maz2198/retail_cltv

maz2198/rocauc-auprc

Comparing ROC-AUC to AUPRC on unbalanced data.

maz2198/tech-talks

This repository contains the notebooks and presentations we use for our Databricks Tech Talks

maz2198/wfp_exercise

maz2198/Zindi_Comps