Loic's repositories
JHU-CSSE-COVID-19-Data-Analysis
COVID19 Data Analysis, Visualizations and Predictions using 2019-nCoV Data Repository by Johns Hopkins CSSE.
AWS-DeepRacer-2020
Autonomous car model driven by reinforcement learning for the 2020 AWS DeepRacer League
TraktForVLC
Automatically trakt.tv what you're watching on VLC
2020-US-Election_Twitter-Sentiment-Analysis
Produce polarity scores for each tweet with #2020 US Presidential Election hashtags to analyse, and visualize people's Positive, Negative and Neutral reactions to the 2020 US Presidential Election on Twitter using NLTK , Plotly and WordCloud libraries.
COVID-19-vs-World-Happiness_Data-Analysis
Merge COVID19 dataset, published by John Hopkins University, which consists of the data related to the cumulative number of confirmed cases with World Happiness dataset consisting of various life factors, scored by the people living in each country around the globe in each Country, to see if there is any relationship between the spread of the virus in a country and how happy people are, living in that country.
COVID-19_Twitter-Sentiment-Analysis
Apply sentimental analysis on the tweets with covid19 hashtags to see people's reactions to the pandemic. Visualize tweets as Positive, Negative, and Neutral using NLTK label.
China-GDP-Non-Linear-Regression-Analysis
China's GDP from 1960 to 2014 Non-Linear Regression model
Drugs-Classification-Decision-Tree
Classification Decision Tree algorithm to build a model from historical data of patients, and their response to different medications. Then use the trained decision tree to predict the class of a unknown patient, or to find a proper drug for a new patient.
movie_recommender
MovieLens based recommender system.使用MovieLens数据集训练的电影推荐系统。
Vehicle-Hierarchical-Clustering
An automobile manufacturer has developed prototypes for a new vehicle. Before introducing the new model into its range, the manufacturer wants to determine which existing vehicles on the market are most like the prototypes--that is, how vehicles can be grouped, which group is the most similar with the model, and therefore which models they will be competing against. Our objective here, is to use clustering methods, to find the most distinctive clusters of vehicles. It will summarize the existing vehicles and help manufacturers to make decision about the supply of new models.