Pinned Repositories
annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
AnomalyDetectionTimeSeriesData
Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and Tensorflow
Applied-Machine-Learning-for-Horizontal-Wells-Optimization-and-Risk-Assessment
This paper proposes a risk matrix to optimize lateral length in drilling horizontal wells. It uses a torque and drag model enhanced with machine learning, considers wellbore's step-out and geometrical torsion, and is quantitative. The risk assessment is summarized in a matrix for easy comparison of designs.
Automated-lawn-mower
Developed a machine learning program for an automated lawn mower with obstacle detection and waste collection. Mapped the area and optimized mowing path for shortest time possible, saving 18% in cost.
awesome-large-action-model
Awesome Large Action Model (LAM): Models that could help gets things done.
churnometer
WT02 - Predictive Analytics - Churnometer
data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
Heart-stroke-predicition
Built a model using K-Nearest Neighbors algorithm to predict likelihood of heart attack based on parameters such as age, smoking history and BMI. Achieved accuracy of 95.4%.
Machine-Learning-Driven-Portfolio-Maximization
A python application, that demonstrates optimizing a portfolio using machine learning.
ichrnn's Repositories
ichrnn/Applied-Machine-Learning-for-Horizontal-Wells-Optimization-and-Risk-Assessment
This paper proposes a risk matrix to optimize lateral length in drilling horizontal wells. It uses a torque and drag model enhanced with machine learning, considers wellbore's step-out and geometrical torsion, and is quantitative. The risk assessment is summarized in a matrix for easy comparison of designs.
ichrnn/annoy
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
ichrnn/AnomalyDetectionTimeSeriesData
Anamoly Detection in Time Series data of S&P 500 Stock Price index (of top 500 US companies) using Keras and Tensorflow
ichrnn/Automated-lawn-mower
Developed a machine learning program for an automated lawn mower with obstacle detection and waste collection. Mapped the area and optimized mowing path for shortest time possible, saving 18% in cost.
ichrnn/awesome-large-action-model
Awesome Large Action Model (LAM): Models that could help gets things done.
ichrnn/churnometer
WT02 - Predictive Analytics - Churnometer
ichrnn/data-engineering-interview-questions
More than 2000+ Data engineer interview questions.
ichrnn/Fraud-Detection-in-Online-Transactions
Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
ichrnn/Heart-stroke-predicition
Built a model using K-Nearest Neighbors algorithm to predict likelihood of heart attack based on parameters such as age, smoking history and BMI. Achieved accuracy of 95.4%.
ichrnn/Machine-Learning-Driven-Portfolio-Maximization
A python application, that demonstrates optimizing a portfolio using machine learning.
ichrnn/Fooocus
Focus on prompting and generating
ichrnn/InsightHD
ichrnn/linkedin-easy-apply-bot
ichrnn/New-Grad-2024
👋 Hey there new grad🎉! We've put together a collection of full-time job openings for SWE, Quant, PM and tech roles in 2024! 🚀
ichrnn/QR-code-AI-art-generator
Generate artistic QR codes using control net and text to image models
ichrnn/sfguide-data-engineering-with-snowpark-python-intro
ichrnn/Spotify-Custom-Playlist-recommendation-system
Music Recommender System
ichrnn/Student_Performance
ichrnn/TechniquesLib-Hackerrank
Each problem here, leaves a technique or a better way to solve a similar kind of problem
ichrnn/The-Grand-Complete-Data-Science-Materials