Panads,Numpy, Scikit learn, Keras, ML Libraries
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Updated
Jan 18, 2019 - Jupyter Notebook
Panads,Numpy, Scikit learn, Keras, ML Libraries
This is the second project in University of Tehran College of Engineering AI course.
Various data structure implementations in Python
Machine Learning algorithms implemented from scratch. Different ML algorithms implemented from scratch. Namely, Multipile Linear Regression and Logistic Regression KNN and Naive Bayes Recrusive Decision Trees Bagging and Boosting (Ada Boost) Yarwosky's Algorithm and Agglomerative Hierarchical Clustering
model to predict the survival in the Titanic disaster, with 98.8 accuracy.
Decision tree algorithm demonstration
Machine Learning - Binary Classification
Ever wondered which file your code should be in? Based on this tree you can determine what kind of code you are working with.
MDBOT (Graduation Project)
finding_donors machine learning model
Machine learning model for Credit Card fraud detection
In this repository, I've added all the classes regarding Machine Learning using SKlearn library with Python which I've covered at SMIT
Application for predicting the flight fares at different dates with different transporters
Diabetes Dataset This dataset is originally from the N. Inst. of Diabetes & Diges. & Kidney Dis.
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