Name: Patrick Munene
Type: User
Company: Hewani Data
Bio: Hands-on data enthusiast with a strong analytical background, technical skill sets, to uncover insights, communicate findings, and create data-driven solutions.
Location: Nairobi, Kenya.
Blog: https://www.hewanidata.com/
Patrick Munene's Projects
Algorithms_And_Data_Structures_Python
A python wrapper for Alpha Vantage API for financial data.
Automatically summarize Uhuru's state of the nation address delivered on 04.04.2019
Predict the customers who are likely to churn for an European bank using various models- KNN, logistic regression, decision tree and random forest
Book 1 -- Exercises for the book
Compiled Caffe for Windows 10 + MSVC 14 + Python 3.5 + Cuda/CPU. Tutorial in french here : http://penseeartificielle.fr/installer-caffe-windows-10-python-3-est-possible
This project shows step by step how to build a machine learning model that can predict the price of a car based on its features by testing many Machine Learning models and comparing between them.
A customer segmentation project can be approached in multiple ways. In this repository, we will explore advanced techniques for defining clusters and analyzing the results.
Cohort Analysis (Retention over User and Product Lifetime) & Customer Segmentation with RFM ( RFM is an acronym of recency, frequency and monetary)
Coloring black and white images with deep learning.
Colorizing B&W Photos with Neural Networks
Roadmap to becoming a data engineer in 2020
Udacity Data Engineering Nanodegree Capstone Project
Deep Learning Specialization by Andrew Ng on Coursera.
Demand forecast task with different approach and frameworks
My Reading Lists of Deep Learning and Natural Language Processing
Example code for the book Fluent Python
Scrape Facebook post comment with all comments reply
Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis
This script is used to scrape the text of posts on a public facebook page and comments(all of them and all of their replies) on those posts and save them in mongodb database. It uses selenium.
Facebook Page and Group's Post Scraper is a script for gathering data using Facebook's Graph API
A Facebook crawler