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zie225

Coulibaly Zie Mamadou's Projects

tensortrade icon tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

tethermanipulationstudy icon tethermanipulationstudy

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

tidybayes icon tidybayes

Bayesian analysis + tidy data + geoms (R package)

time-series-forecasting-1 icon time-series-forecasting-1

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.

times-serie icon times-serie

ANOMALI DETECTION, TIMES SERIE FORECAST, CONTROLE CHART

titanic_dt icon titanic_dt

Predicting Titanic survival rates using a Decision Tree Classifier and a Randomized Search Cross Validation

tpu icon tpu

Reference models and tools for Cloud TPUs.

trading-strategy icon trading-strategy

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.

tsd icon tsd

Time Series Downloader for satellite images

twitter-bot-sentiment icon twitter-bot-sentiment

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

vehicleandlane_detection icon vehicleandlane_detection

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.

webscarpping_mlearning icon webscarpping_mlearning

This is my first data science project. I'm actually trying to improve the models to make better predictions.

xcovid icon xcovid

A transfer learning based COVID-19 lung x-ray classifier made into a WebApp!

ydata-profiling icon ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

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