Coulibaly Zie Mamadou's repositories
Marketing-Data-Science
Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).
datascience
Portfolio of POCs comprising of various concepts in Python and Machine Learning
Photomosaic-generator
photomosaic generator (image to image, video to video)
Ensemble-Learning-BLOG
Ensemble Learning — Bagging, Boosting, Stacking and Cascading Classifiers in Machine Learning using SKLEARN and MLEXTEND libraries.
titanic_dt
Predicting Titanic survival rates using a Decision Tree Classifier and a Randomized Search Cross Validation
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
fabricatr
fabricatr: Imagine Your Data Before You Collect It
tidybayes
Bayesian analysis + tidy data + geoms (R package)
scikit-garden
A garden for scikit-learn compatible trees
ML-Projects
Machine Learning Projects 🙍♂️, code and data sets for different kind of problems 🔥.
fuzzyrescaler
:straight_ruler: Fuzzy feature scaling methods
Machine-Learning-with-Python
Python code for common Machine Learning Algorithms
outfit
:dress: Tidy up your machine learning experiments
hybrid_ml_model
Implements hybrid predictive model from Tong Wang (ICML 2019)
cvcqv
Coefficient of Variation (CV) and Coefficient of Quartile Variation (CQV) with Confidence Intervals (CI)
MachineLearning-tutorial
Codes provenant de mes vidéos YouTube : https://www.youtube.com/channel/UCmpptkXu8iIFe6kfDK5o7VQ
computational-macroeconomics
Resources for undergraduate course in computational macroeconomics.
Object-Counter-using-Opencv-Instance-Segmentation
Object Counter using Opencv Instance Segmentation - Mask R-CNN
OpenCV-Python-Tutorials
Code for my laerning of OpenCV Python Tutorials
complete-seaborn-crash-course
This is complete course of Seaborn.
codes
Programming
Imagery_Analytics_GeoSatellite_Data
Geotiff python analytics to compute NDVI (normalized difference vegetation index)
Deep-Learning-Contrastive-Center-Loss-Transfer-Learning-Food-Classification-
This repository contains the ipynb for a project on deep learning visual classification of food categories
Mongo-Db--Apache-Kafka--Spark-streaming---Visualizations-
Details in Specifications
TIMES-SERIE
ANOMALI DETECTION, TIMES SERIE FORECAST, CONTROLE CHART
linear-regression
model linear regression with my own dataframe