cimplival
My mission is to empower lives through technological innovations in education and health.
Cimplicity AppsNairobi, Kenya.
Pinned Repositories
africas-talking
Africa's Talking Laravel 5 API Package
AfricasTalkingLaravel5
A Laravel 5 package for integrating Africa's Talking Services to your Laravel Web Application.
afya-24
Emergency nearest ambulance dispatcher based on user GPS ping. Incorporated with voice call and USSD support. <NB: If need all files please request from me>
chealth
Opensource electronic medical records (EMR) system.
Pesapal
Laravel 6 Package for the Pesapal API
python-basics-for-data-science-dojo-deliverable
Python basics for data science dojo.
shasha
sql-basics-for-data-science-dojo-deliverable
SQL Basics for Data Science Dojo Project
cimplival's Repositories
cimplival/Pesapal
Laravel 6 Package for the Pesapal API
cimplival/python-basics-for-data-science-dojo-deliverable
Python basics for data science dojo.
cimplival/sql-basics-for-data-science-dojo-deliverable
SQL Basics for Data Science Dojo Project
cimplival/api
Web API for code compilation and execution.
cimplival/bayesian-analysis-recipes
A collection of Bayesian data analysis recipes using PyMC3
cimplival/Chi-Square-Test-of-Independence
Explanation : https://medium.com/@kuldeepnpatel/chi-square-test-of-independence-bafd14028250 & Kaggle Kernel: https://www.kaggle.com/kuldeepnpatel/chi-square-test-of-independence
cimplival/cleaning-data-in-python
A vital component of data science involves acquiring raw data and getting it into a form ready for analysis. In fact, it is commonly said that data scientists spend 80% of their time cleaning and manipulating data, and only 20% of their time actually analyzing it. This course will equip you with all the skills you need to clean your data in Python, from learning how to diagnose your data for problems to dealing with missing values and outliers. At the end of the course, you'll apply all of the techniques you've learned to a case study in which you'll clean a real-world Gapminder dataset!
cimplival/data
Data and code behind the articles and graphics at FiveThirtyEight
cimplival/data-examples
Unpacked data sets with Gapminder, Titanic and more
cimplival/Data_Science_Projects
This folder contains most of my independent data science projects.
cimplival/datasets
cimplival/Essential-Math-for-Data-Analysis
Learn the essentials of math for data analysis using Excel Online - Part of the Data Analyst Microsoft Professional Program
cimplival/Exploring_San_Francisco_Salary_Dataset
Demonstration of the libraries NumPy, Pandas, Seaborn on the public dataset SF Salaries.
cimplival/free-programming-books
:books: Freely available programming books
cimplival/freeCodeCamp
freeCodeCamp.org's open source codebase and curriculum. Learn to code at home.
cimplival/kaggle-with-R
All kaggle datasets and the R codes
cimplival/laravel-timezone
Enable user Timezones in your application.
cimplival/lazypredict
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
cimplival/MD
cimplival/MS-Large
Large Working Files
cimplival/musicinformationretrieval.com
Instructional notebooks on music information retrieval.
cimplival/numpy-100
100 numpy exercises (100% complete)
cimplival/owid-datasets
OWID Dataset Collection
cimplival/pandas_exercises
Practice your pandas skills!
cimplival/Predicting_real_estate_prices_using_scikit-learn
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
cimplival/Python-Exercise-
basic numpy opeartion on the given dataset
cimplival/shap
A game theoretic approach to explain the output of any machine learning model.
cimplival/sirh
cimplival/starting-off-with-data-science-python
Python DS Notebooks (Basics, Numpy, Pandas)
cimplival/Supervised-Learning-Projects
A selection of projects using supervised learning algorithms such as Linear Regression, Logistic Regression, KNN, Decision Trees, Random Forest and SVM.