obinopaul Goto Github PK

120-data-science-interview-questions

Answers to 120 commonly asked data science interview questions.

500-ai-machine-learning-deep-learning-computer-vision-nlp-projects-with-code

500 AI Machine learning Deep learning Computer vision NLP Projects with code

bird-species-classification

This project employs deep learning techniques for bird species classification, leveraging convolutional neural networks (CNNs) to analyze and identify various bird species from images. The model is trained on a diverse dataset, enabling accurate species recognition and contributing to ecological research and conservation efforts.

credit-card-fraud-detection-using-random-forest

This repository contains a credit card transactions fraud detection model built using the Random Forest algorithm. The model uses a large dataset of credit card transactions to train the algorithm and identify patterns and anomalies that may indicate fraud.

data-science--cheat-sheet

Cheat Sheets

data-science-and-machine-learning-books

Books for Data Science

data-science-and-machine-learning-cookbook

A collection of popular and reusable data science codes and operations for Data Science and Machine Learning

data-science-projects

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

datasciencespecialization.github.io

http://DataScienceSpecialization.github.io

dorothea

A concise machine learning project leveraging Logistic Regression, SVM, and Decision Trees to classify chemical compounds. Incorporates cross-validation, hyperparameter tuning, and feature selection for performance optimization on the high-dimensional, class-imbalanced Dorothea dataset.

face_recognition

The world's simplest facial recognition api for Python and the command line

i-handbook

Schlumberger i-Handbook

licence-plate-detection

Streamlit-powered YOLO license plate detection app, offering image/video processing with interactive user interface. Data from Roboflow.

ml-workshop-image-recognition

The resources for our ML Workshop about Image Recognition

numpy_exercises

Numpy exercises.

obinopaul

Config files for my GitHub profile.

obinopaul.github.io

ovarian-cancer-ml-classification

This project applies machine learning techniques to classify ovarian cancer stages, aiding in early detection and personalized treatment strategies. Using patient data and biomarkers, we train predictive models to identify cancer subtypes accurately.

petrol-price-prediction-using-lstm

This is a machine learning model that predicts petrol prices using univariate timeseries data and LSTM (Long Short-Term Memory) neural networks. The model is trained on historical crude oil prices from a public database ranging from 2003 to 2015.

pore-pressure-prediction-for-oil-and-gas

This project focuses on the development of a machine learning model for predicting pore pressure in the context of oil and gas exploration and production. Pore pressure, which represents the pressure exerted by fluids within rock formations, is a critical parameter in drilling operations, reservoir characterization, and wellbore stability analysis.

predicting_hourly_energy_consumption_using_prophet

This repository contains Python code and documentation for univariate time series modeling on PJMs Eastern Interconnection Grid, using Prophet. The aim is to forecast energy consumption based on hourly data spanning 10 years. The results achieved good accuracy, with forecasted values available for future hours.

python-cheatsheet

Comprehensive Python Cheatsheet

python-for-data-science-training

I have just started learning python for Data Science.

python_data_science_and_machine_learning_bootcamp

Jupyter notebook for Udemy course: Python data science and machine learning bootcamp

remote-jobs

A list of semi to fully remote-friendly companies (jobs) in tech.

sentiment-analysis-loan-app

A sentiment analysis was conducted on six digital lending platforms in Nigeria to determine the public perception and sentiment towards these platforms. The analysis analyzed customer reviews and comments from various online sources to determine the overall sentiment towards each platform.

smart-home-weather-and-energy-dataset

This GitHub repository contains code and resources for a time-series analysis of a smart home dataset with weather and energy information. We explore relationships between environmental parameters, energy consumption, and weather conditions, and use various techniques to uncover patterns and build models for predicting energy consumption.

sonic-wave-velocity-prediction-using-automl

This repository contains code and resources for predicting sonic wave velocity in oil and gas exploration using Automated Machine Learning (AutoML) techniques.

tackling-the-health-crises-in-africa

This repository is a data analysis project focused on improving health outcomes in Africa. Through data exploration and modeling, the project aims to provide insights and recommendations to address pressing health issues. The repository includes code, datasets, and findings and welcomes contributions from the open-source community.

textsearch

Find strings/words in text; convenience and C speed :fireworks: