Mariem Ashraf's starred repositories
Churn-Prediction-of-Telecom-Data
This project is focused on end to end application of Machine Learning methodologies to achieve best predicting accuracy. Our goal is to predict churn rate of customers for a telecom service provider based on service charges and usage data of customer.
KobeBryant-DecisionTrees
Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees
Python-ML-for-Financial-Applications
Moody's Bond Rating Classifier and USPHCI Economic Activity Forecast Modeling
python-id3-trees
python implementation of classification trees
Self-implementation-of-a-random-forest-algorithm
A random forest algorithm is implemented in Python from scratch to perform a classification analysis.
Classification-trees
Using classification trees to predict a hand written digit.
Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
coursera-big-data-specialization
BigData, Classification, Clustering, Graph analytics, Splunk, Spark, Neo4j, KNIME
Working-With-Date-Time-in-Pandas
Working-With-Date-Time-in-Pandas
ND111_data_science_foundations_02
ND111 - Udacity Course - Data Science II - Foundations Nanodegree Program