fgardete's repositories
PowerBI-AI-samples
Sample datasets and PBIX files for AI in Power BI
Data-Analytics-Projects
This repository contains the projects related to data collecting, assessing,cleaning,visualizations and analyzing
lucianamarques.github.io
My personal blog
Neural_Networks
University course from https://sites.google.com/a/cs.uni.wroc.pl/jch/teaching
MLSOLHACKERRANK
Solution of machine learning problem for beginners
MachineLearningAlgorithmPractice
Implemented Machine Learning Algorithms using Excel Data Analysis package and Python
VBA-AdvancedExcel
VBA & Advanced Excel projects
Thesis
My MSc thesis at the Budapest University of Technology and Economics. I was attending Building Engineering and I'm an enthusiastic coder, thus I have examined an existing district heating system and reoptimised it using a genetic algorithm. I used MS Excel for the database and the integrated VBA module for writing the code. The thesis is mostly hun
IntroDataScience
:slot_machine: Data Analysis and Machine Learning - K-Means Clustering, Sentiment Analysis, and Linear Regression - Models in Excel :bee:
stockMarketPredictionTool
This is an Excel based automated tool developed by me which extensively uses D3.Js, R, Excel VBA and Phantom JS to provide an integrated appication that not only automatically fetches the data from the web but also develops models, creates interactive hovering data label charts on excel and also test the accuracy of the predictions just at the clic
Excel-to-Access
Connecting Excel spreed sheet with VBA scripts to an Access DB
madrid-oct-2018
Student labs for Ironhack's very first Data Analytics bootcamp!
Stockprediction
Stock prediction using KNN regression, Linear regression and aka LSTM
Loan-best-Classifier
Final assignment of a Machine Learning with python Course on Coursera it's purpose is to check and choose the best classification model that predicts if the user can have a loan or not.
Churn-Modelling
build model for predicting the future possibility of customers leaving the bank
Simple-Stock-Predictor-xgboost-knn-
Stock prediction using xgboost and knn classification done in R
kaggle-home-prices
Google colab notebook for the Kaggle Home prices submission
Managerial-Analytics-Descriptive-and-Predictive
Leveraging competitive advantage by using data to make better decisions. Implemented machine learning and used predictive analytics techniques to solve real world industry problems.
TradingAnalysisTool
Private project for gathering stock market data and predictions.
categorical-encoding
A library of sklearn compatible categorical variable encoders
analyzing_ab_test_results
A Sample Project Analyzing AB Test Results using Python (Pandas, Numpy, MatPlotLib, & Statsmodel)
PredictingTheDow
predicting the directionality of Dow Jones Industrial Average using machine learning techniques
harrypotter0-algorithms-in-python
:octocat: Interactive way to learn Algorithms . Feel free to contribute! :mortar_board:
Udacity-MLND-Project-5-Capstone
Using machine learning to predict the directionality of the S&P500 Stock Market Index
pragmatic-machine-learning
⚡💰 Machine Learning done in a Pragmatic way!