Coulibaly Zie Mamadou's Projects
Code and data associated with the book "Statistics for Data Scientists: 50 Essential Concepts"
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks
Student Intervention data
Image classification example using Bayesian Optimization on the Support Vector Machine's hyperparameters, with the model's AUC as the metric to maximize.
Teaching materials for R
Generative Adversarial Networks
Telegram Analysis Tools
IoT temperature project - https://geektechstuff.com/2019/01/31/raspberry-pi-iot-project-temperature-part-1-initial-planning-raspberry-pi/
Install tensorflow and keras on Raspberry pi
An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.
Jupyter notebook used to write the medium post: https://medium.com/@gerardmartnez/statistical-analysis-of-bitcoin-price-manipulation-by-tether-issuance-in-late-2017-b3342b8915a0
Bayesian analysis + tidy data + geoms (R package)
Forecasting Monthly Sales of French Champagne - Perrin Freres
This repository is aiming to Time Series Forecast over a given dataset. The goal of the exercise is to find the most appropriate model and make some predictions.
ANOMALI DETECTION, TIMES SERIE FORECAST, CONTROLE CHART
Predicting Titanic survival rates using a Decision Tree Classifier and a Randomized Search Cross Validation
The dataset contains Wikipedia comments which have been labeled by human raters for toxic behavior.
Reference models and tools for Cloud TPUs.
Generate trading orders (BUY, SELL, NOTHING) using technical orders' rules based on historical data. Manual Strategy uses my modest intuition to find the optimal policy. QLearnerStrategy uses Machine Learning (QLearning algorithm) to find the optimal policy: four indicators are discretized to generate each state.
Time Series Downloader for satellite images
Social Media Analysis Project. Sentiment Analysis of tweets on Twitter pages. Twitter Bot listens for requests on sentiment analysis and posts back an image of the analysis to the tweeter. @PySentimentBot
Projects that I have completed during taking Machine learning engineering course at Udacity
The goals / steps of this project are the following: Perform a Histogram of Oriented Gradients (HOG) feature extraction on a labeled training set of images and train a classifier Linear SVM classifier Optionally, you can also apply a color transform and append binned color features, as well as histograms of color, to your HOG feature vector. Note: for those first two steps don't forget to normalize your features and randomize a selection for training and testing. Implement a sliding-window technique and use your trained classifier to search for vehicles in images. Run your pipeline on a video stream (start with the test_video.mp4 and later implement on full project_video.mp4) and create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles. Estimate a bounding box for vehicles detected.
This is my first data science project. I'm actually trying to improve the models to make better predictions.