Nazih Kalo's Projects
In this project we will be using the publicly available and Kaggle-popular LendingClub data set to train Linear Regression and Extreme Gradient Descent Boosted Decision Tree models to predict interest rates assigned to loans. First, we will clean and prepare the data. This includes feature removal, feature engineering, and string processing.There are several entries where values have been deleted to simulate dirty data. Then, we will build machine learning models in Python to predict the interest rates assigned to loans. We will evaluate our models' performances using the root mean squared error (RMSE) metric and compare our models' results.
Quantified Self Personal Data Aggregator and Data Analysis
Use this template if you need a quick developer / data science portfolio! Based on a Minimal Jekyll theme for GitHub Pages.
Repository Exploring different RL methods for playing Ms-Pacman using openai's Atari environment.
A place to dump interesting links, papers & code.
Predicting Citations and building a Knowledge Base using Semantic Scholar's Corpus of 175M+ Research Papers.
Airbus Ship Detection Challenge on Kaggle: Finding ships on satellite images using CNNs
Updgrading smart contract through ProxyAdmin & TransparentUpgradeableProxy
Simple lottery in solidity
A social networking service scraper in Python
SQL views for Dune
Detecting & Classifying Defects in Steel Manufacturing line using computer vision
Fine-tuning Transformers from HuggingFace for financials news sentiment
Export tweets to Ceramic
Flask App to provide shortened custom URLS for localhost
This program finds the most mentioned ticker on r/wallstreetbets and uses Vader SentimentIntensityAnalyzer to calculate the sentiment analysis.
📖 Summarize any business communications at scale with Wordcab's API
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