APPLYING MACHINE LEARNING ON PROJECTS

Here we use different machine learning tool to create our model

Environment:

Python 3.6

ANACONDA

1st project is about Titanic survival

dataset from Kaggle

used model

SVM
DECISION TREE
NAIVE BAIS
RANDOMFOREST
ANN

2nd project is about Digit Recognation

dataset from Kaggle

model used

 SVM
 RANDOMFOREST
 DECISION TREE
 ANN

3rd project is about FootBall match league Prediction

dataset is from http://www.football-data.co.uk/data.php

model used

LOGISTIC REGRESSION
SVM
RANDOM FOREST
XGBOOST

4th project is about minimising churn rate through analysis of financial habit

dataset is from google

model used

 Logistic Regression
 RandomForest
 K-Fold Cross-validation

5th project is about directing customer to subscription through app behaviour

dataset is from google

model used

 Logistic Regression
 RandomForest

6th project is about Predicting the Likelihood of E-Signing a Loan Based on Financial History

dataset is from google

model used

Logistic Regression
SVM
Naive Bais
RandomForest
K fold crossValidation

7th project is about breast cancer diagnostic

dataset is from Kaggle and UCI

model used

 SVM
 RANDOM FOREST

8th project is about IRIS class classification

dataset is from kaggle and Uci

Model used

LogisticRegression
RandomForest