Discover @franckbinde Open Source projects

Franck Binde (@franckbinde)

franckbinde

Stars
28
Global Rank 503,101 (Top 18 %)
Followers 13
Following 4
Registered almost 5 years ago
Most used languages

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75.0 %

JavaScript
20.8 %

HTML
4.2 %
Location 🇨🇲 Cameroon
Country Total Rank 124
Country Ranking

Jupyter Notebook
4

JavaScript
110

HTML
176

no-show-appointment

Analysis of potential causes of missed hospital appointments

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dannys_diner

sql-murder-mystery

SQL code to solve the SQL Murder Mystery Challenge

yt-app

Data_Viz_Project

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IBMCapstoneProject.model_evaluate

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IBMCapstoneProject.model_deployment

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prosper_loan_data

Data exploration of loans using charts

IBMCapstoneProject.model_def

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pizza_order

ytube_clone

IBMCapstoneProject.model_train

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exploring_ebay_car_sales_data

This was a guided project completed with the help of Dataquest.

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IBMCapstoneProject.feature_eng

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Modeling_Earthquake_Damage

Based on aspects of building location and construction, the goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.

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beach-resort

Hotel Reservation App built with ReactJS

Adventure-Works-Cycles-Customer-Analysis

In this project, we will handle three main tasks: explore the data and gain some insights into Adventure Works customer characteristics and purchasing behavior, build a classification model to predict customer purchasing behavior, build a regression model to predict customer purchasing behavior

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IBMCapstoneProject.etl

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Predicting-House-Sale-Price

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Querying-CIA-Factbook-Data-Using-SQLite-and-Python

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react_the_venue

Single Web Page built with React JS

earnings_college_major

This is mainly a visualization project, where we would like to see the outcomes of graduating from different majors.

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Finding-The-Best-Market-to-Advertise-in

An E-learning company that offers courses on programming would like to find the best market to advertise in.

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clean_and_analyse_employee_exit_survey

In this project, we'll work with exit surveys from employees of the Department of Education, Training and Employment (DETE) and the Technical and Further Education (TAFE) institute in Queensland, Australia. You can find the TAFE exit survey here and the survey for the DETE here. We want to answer the following questions:

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Logical-Core-of-Mobile-App-for-Lottery-Addiction

A medical institute that aims to prevent and treat gambling addictions wants to build a dedicated mobile app to help lottery addicts better estimate their chances of winning. The institute has a team of engineers that will build the app, but they need us to create the logical core of the app and calculate probabilities.

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movie_recommendation_system

With the guidance of the Super Data Science Team, we will be building a Movie Recommandation System With Pytorch, using Stacked Autoencoders. In this project, we are trying to predict the ratings that a user will give to an unseen movie, based on the ratings he gave to other movies.

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