Pinned Repositories
beginner_python_projects
This repository contain 10 python friendly projects for bigenner to start learning python by building projects.
Data-Science-Projects-From-Kaggle
Data science projects from the Kaggle website: Data Analysis, Data Visualization, Machine Learning, Time Series Analysis, Computer Vision, Natural Language Processing, Predictive Modeling ...
IBM_HR_Analytics_Employee_And_Performance
Predict attrition of your valuable employees
Machine-Learning-Algorithms-Tutorials
Basic Machine Learning Algorithms tutorials (Linear Regression, Logistic Regression, SVM, Random Forest, Bagging, KNN, K-Means ...)
Machine_Learning_Deployment_with_Streamlit
In this project, I used data from a Kaggle competition and build machine learning models to classify a text as Disaster or Not. The model is deployed on Heroku.
machine_learning_in_python_with_scikit_learn
Minimizing-Churn-Rate-Through-Analysis-of-Financial-Habits
The objective of this model is to predict which users are likely to churn, so that the company can focus on re-engaging these users with the product. These efforts can be email reminders about the benefits of the product, especially focusing on features that are new or that the user has shown to value.
Natural-Language-Processing
Natural Language Processing projects and Tutorials
Predicting-the-closing-stock-price-of-APPLE-using-LSTM
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
Predicting_Loan_Defaulters_Using_Deep_Learning
In this case study, we will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.
fares-ds's Repositories
fares-ds/Predicting-the-closing-stock-price-of-APPLE-using-LSTM
In this project we will be looking at data from the stock market, particularly some technology stocks. We will learn how to use pandas to get stock information, visualize different aspects of it, and finally we will look at a few ways of analyzing the risk of a stock, based on its previous performance history.
fares-ds/Data-Science-Projects-From-Kaggle
Data science projects from the Kaggle website: Data Analysis, Data Visualization, Machine Learning, Time Series Analysis, Computer Vision, Natural Language Processing, Predictive Modeling ...
fares-ds/beginner_python_projects
This repository contain 10 python friendly projects for bigenner to start learning python by building projects.
fares-ds/Minimizing-Churn-Rate-Through-Analysis-of-Financial-Habits
The objective of this model is to predict which users are likely to churn, so that the company can focus on re-engaging these users with the product. These efforts can be email reminders about the benefits of the product, especially focusing on features that are new or that the user has shown to value.
fares-ds/Predicting_Loan_Defaulters_Using_Deep_Learning
In this case study, we will also develop a basic understanding of risk analytics in banking and financial services and understand how data is used to minimise the risk of losing money while lending to customers.
fares-ds/Machine-Learning-Algorithms-Tutorials
Basic Machine Learning Algorithms tutorials (Linear Regression, Logistic Regression, SVM, Random Forest, Bagging, KNN, K-Means ...)
fares-ds/Natural-Language-Processing
Natural Language Processing projects and Tutorials
fares-ds/machine_learning_in_python_with_scikit_learn
fares-ds/talk-to-youtube-videos
Youtube assitant using OpenAI, Langchain, and FastAPI - Using this API you can ask questions directly to your favorate podcast.
fares-ds/Business-Case-Study---Absenteeism
fares-ds/Cifar-10_Image_Classification_Using_CNNs
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000 training images and 10000 test images.
fares-ds/Credit-Card-Fraud-Detection
The Credit Card Fraud Detection Problem includes modeling past credit card transactions with the knowledge of the ones that turned out to be a fraud. This model is then used to identify whether a new transaction is fraudulent or not. Our aim here is to detect 100% of the fraudulent transactions while minimizing the incorrect fraud classifications.
fares-ds/Fashion-Class-Classification
fares-ds/House-price-prediction-Kaggle-Competition
fares-ds/Machine_Learning_Deployment_with_Streamlit
In this project, I used data from a Kaggle competition and build machine learning models to classify a text as Disaster or Not. The model is deployed on Heroku.
fares-ds/Natural-Language-Processing-with-Python
Can you use this dataset to build a prediction model that will accurately classify which texts are spam?
fares-ds/Natural_Language_Processing_Sentiment_Analysis
fares-ds/Real-or-Not-NLP-with-Disaster-Tweets
Predict which Tweets are about real disasters and which ones are not
fares-ds/SIIM-ISIC-Melanoma-Classification
Identify melanoma in lesion images Kaggle Competition
fares-ds/Time_Series_Analysis_Tutorial
A time series is a series of data points indexed (or listed or graphed) in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time.
fares-ds/Automobile_Consulting_Company_Predicting_Cars_Prices
fares-ds/Computer_Vision_with_OpenCV_and_TensorFlow
fares-ds/Git_and_GitHub_Tutorial
fares-ds/Malaria_Cell_Classification_Using_CNNs
fares-ds/pandas
Full data analysis and data visualization projects notebooks using Pandas, Numpy, matplotlib and seaborn
fares-ds/phonondos_e3nn
Code Repository for "Direct prediction of phonon density of states with Euclidean neural network"
fares-ds/web_page_dashboard
fares-ds/workshop
The Materials Project Workshop Curriculum
fares-ds/hlb-CIFAR10
Train to 94% on CIFAR-10 in less than 10 seconds on a single A100, the current world record. Or ~95.77% in ~188 seconds.
fares-ds/ocr-api-application
A simple FastAPI application to extract text from images