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Excel_Automation
Repository for the excel automation ideas in PythonTwitter_election_scraper
This python script scrapes tweets from specific users and organizes them in a convenient CSV file. The goal is to collect tweets about the 2020 election and perform sentiment analysis on them at a later time.Automated_login
This python scripts uses Selenium to automate the stack overflow's login page.Corona_Invaders
Corona Invader is a replica of the famous Space Invader, with a twist. In the game, you impersonate the Unites States, and you will have to beat the coronavirus by shooting syringes or vaccines, depending on your imagination.Stock_Price_Predictor
This projects allows users to predict stock prices through the use of scikit-learn to train a support vector regression on a Google Finance dataset (apple in this case). The code produces a graph showing the 3 model used: RBF, Linear, and Polynomial (RBF turned out to be the best one). The Machine Learning model can be adjusted to Keras, as well, to adapt it to Neural Networks. A further upgrade might be prediction of stock prices by using sentiment analysis and price history.Automate_Coronavirus
This python script tracks and scrapes the data from www.worldometers.info/coronavirus with the end goal of automating coronavirus reporting. The collected data gets exported in a convenient CSV file. You can also integrate twilio to get daily messages containing the coronavirus statistics.Python_Chatbot
A simple chatbotTik_Tok_Blocker
A very useful extension to stop you from visiting tiktok.com2020_Elections_Predictor
Gender-Classification-App
This gender classifier uses scikit-learn ML library to train a decision tree on a dataset of body measures (height, width, and shoe size) based on sex. Consequentially, we can predict someone's gender by setting specific body metrics as input.Movie_Recommendation_System
I've used the LighFM library to train a hybrid content-based + collaborative algorithm that uses the WARP loss function on the movielens dataset. Movielens is a great source of movies and ratings from thousands of users. The model will create personalized movie recommendations in a setup environment (Terminal)Twitter_Sentiment_Analysis_App
This app analyzes Tweets and performs a Sentiment Analysis to see how positive or negative each tweet is about whatever topic we choose. It uses tweepy to get access to the Twitter API (where I create a profile as a develop and created an app), and TextBlob library to perform the Sentiment Analysis on the Tweets.TF_Chatbot
Implemented TensorFlow Sequence to Sequence model to train a ChatBot on a Movie Dialogue Dataset provided by Cornell. The model should take a few hours to fully train. Currently working on the UI. Also, I look forward to improve this model to adapt TF learn. It will then generate styled-specific sentences. It is interesting to play with the hyperparameters as well.Love Open Source and this site? Check out how you can help us