davidemerlin Goto Github PK

2020_elections_predictor

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.

automated_login

This python scripts uses Selenium to automate the stack overflow's login page.

coding_interviews_prep

Repo containing interview problems solutions

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.

excel_automation

Repository for the excel automation ideas in Python

gab2019sample

A sample .NET Core 2.2 web application and a Unit Test project for a Global Azure Bootcamp 2019 talk

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.

genetic_algorithm

This project uses the MAGIC Gamma Telescope dataset to build a classifier. This, will train on the dataset and it will be able to classify if the energy is Gamma Radiation or Hadron Radiation. This project was possible thanks to the help of a genetic programming library called tpot. The model can be use to make estimations about countries (e.g has the temperature in country x risen over the past 10 years?)

live_classifier

MobileNet to classify real-time images through the use of the webcam

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)

pizzapi

A Python wrapper for the Dominos Pizza API

plus-health

Plus health is a family of health applications and services that makes it easier for a person to be healthy, makes it easier for hospital and doctors to directly track a patient's health and communicate with patients swiftly. Plus health helps a patient to keep track of his symptoms and predict the disease according to it and makes it possible for patients to seamlessly schedule an appointment with doctors.

python_chatbot

A simple chatbot

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.

tensorflow_image_classifier

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.

tik_tok_blocker

A very useful extension to stop you from visiting tiktok.com

twitter_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.

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.

two-layer-neural-net

Played with the data from the Weed Detection in Soybean crops

webdevbootcamp

All source code for back-end projects from the Web Developer Bootcamp