machine-learning

some used case problems

Titanic Dataset Problem
Heart Disease Probelm
Loan Prediction Problem
Image Recognition Problem using Keras
Sparks Foundation Projects
- Task-1: Predict the percentage of student if he studies for 9.25hours/day.
- Task-2: From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually.
- Task-3: Perform ‘Exploratory Data Analysis’ on dataset ‘SampleSuperstore’ As a business manager, try to find out the weak areas where you can work to make more profit. What all business problems you can derive by exploring the data?
- Task-4: Create the Decision Tree classifier and visualize it graphically. The purpose is if we feed any new data to this classifier, it would be able to predict the right class accordingly.
Loan Prediction Problem
IPL First innings score prediction
Superstore Data Analysis
Wine Quality Prediction
Vehicle Data Analysis

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
IPL Score Prediction Deployment		IPL Score Prediction Deployment
IPL Score Prediction		IPL Score Prediction
Image Caption Generator		Image Caption Generator
Keras Library		Keras Library
Loan		Loan
ML		ML
NLP		NLP
The Sparks Foundation		The Sparks Foundation
Vehicle Data Analysis		Vehicle Data Analysis
Wine Quality Prediction		Wine Quality Prediction
superstoredata		superstoredata
Photo Recognition		Photo Recognition
README.md		README.md
SVM.ipynb		SVM.ipynb
heart disease.ipynb		heart disease.ipynb
image-caption-generator-man-standing-on-rock (2).png		image-caption-generator-man-standing-on-rock (2).png
titanic solution.ipynb		titanic solution.ipynb
titanic_test.csv		titanic_test.csv
titanic_train.csv		titanic_train.csv

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