alvaromendizabal

Churn_Prediction_in_Energy_Sector

Crunchyroll_Recommender_System

Landmark_Classification_on_Mars

NBA_Prediction_Model

Sentiment_Analysis_on_Twitter_Google_Apple

DS-Live-062722-Streamlit-Practice

dsc-anova

dsc-anova-lab

dsc-apis-lab

dsc-data-serialization-lab

dsc-dimensionality-reduction-lab

dsc-hypothesis-testing-lab

dsc-logistic-regression-lab

dsc-ml-fundamentals-lab

dsc-multiple-regression-cumulative-lab

dsc-nlp-lab

dsc-pandas-data-cleaning-lab

dsc-pandas-eda-lab

dsc-ph5-MarsTerrainAnomalyDetection

Using a set of images, train a Neural Network to identify interesting features on Mars topography

dsc-phase-2-project-v2-3

dsc-phase-2-project-v2-5

dsc-sklearn-preprocessing-lab

dsc-sql-lab

dsc-using-yelp-api-codealong

NBA-outcome-predictor

This project focuses on using deep learning to predict the outcome of an NBA matchup using player stats, both basic and advanced stats, and comparing to see which stats lead to a more accurate outcome prediction.

NTL-DS-062722

Main Cohort repository for NTL-DS-062722

phase_1_id10t_team

Phase 1 Project Templates and Examples

practice-it-sql-joins-3085459

Practice It: SQL Joins

Sentiment_Analysis_on_IMDB_Reviews

Sentiment_Analysis_on_Rotten_Tomatoes