Hasnae TALIBI's repositories
End-To-End-ML-Project-Predict-Flight-Price
End to end flight price prediction Machine learning-based project developed using flask & deployed on Heroku app.
Real-Time-Emotion-Detection
Real time Emotion Detection
Titanic-Project
Welcome to my second Notebook !
House-Prices---Advanced-Regression-Techniques
House Prices: Advanced Regression Techniques
Predict-California-Housing-Prices-
Discovering and visualizing California House pricing dataset to gain insights,preparing it for Machine Learning algorithms and selecting a model to train
Predict-Wine-Quality
A project investigating the relationship between wine quality and the chemical properties of the wine
Customer-Segmentation
This project applies customer segmentation.
Deploy-A-simlpe-Regression-model-with-Flask
Deploy a Machine Learning model into production
Time-Series-Forcasting-the-number-of-Passengers-for-the-next-3-years
The purpose of this project is to process the time series, identify its nature, choose the suitable model, find the optimal combination of parameters and finally make future prediction.
Machine-Learning-Deployment-using-Docker
Deploy a Machine Learning model into production using Docker
Deploy-A-simple-Regression-model-using-Sreamlit
Deploy a Machine Learning model using Streamlit
Flower-Classification-CNN
Classification of flowers from Kaggle Dataset using Deep Convolutional Neural Network (CNN)
Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
nlp-in-python-tutorial
comparing stand up comedians using natural language processing
twitter-sentiment-analysis-algorithm-comparison
Comparison of different techniques in machine learning to see which algorithm has the highest accuracy.
seaborn
This is the Seaborn cheat sheet I made to go along with my Learn Seaborn in One Video Tutorial
housing-price-prediction-pyspark
Housing price prediction using machine learning in pyspark
Credit_card_fraud_detection_ULB_with_Apache_Spark_on_Databricks
Credit card fraud detection model using Spark and LightGBMClassifier in Databricks runtime environment using dataset provided by Machine Learning Group at Université libre de Bruxelles (ULB).