#BusinessSourced-Classification
--> A classification problem to predict whether required amount of business will be sourced by the compoany or not!!
#ItemOtletSales-Regression
--> A regression problem to predict the sales of a company!!
#11-Linear Regression
--> Linear regression practice on made up data
#13-Logistic Regression
--> Logistic regression practice on made up data
#14-K-Nearest Neighbour
--> Classification problem using knn method
#15-Decision Tree and Random Forest
--> Understanding decision trees and random forests
#16-Support Vector Machines
--> Understanding SVM
#17-KMeans Clustering
--> Unsupervised learning with clustering
#20-Natural Language Processing
--> Practice problem on nlp
#Twitter Sentiment Analysis
--> Analysis of tweets(Spam or Ham) using nlp
#Iris-Classification
--> Classification practice to predict flower type on inbuilt iris dataset
#Face Sentiment
--> Sentiment analysis to predict face emotion
#Loan Credibility
--> Dataset on classification example to predict whether a customer is suitable to grant loan or not
#Artificial neural network
--> Deep learning practice for artificial neural networks
#Convolutional neural network
--> Deep learning practice for convolutional neural networks
#Heart Disease UCI
--> Classification problem to predict the person is likely to be affected by the heart disease or not on certain factors
#Titanic Disaster
--> Analysis to predict whether a person is likely to get affected by titanic disaster
#Black Fiday
--> Linear Regression analysis on black friday dataset obtained from kaggle
#Delhi Cantt.
--> An analysis of voters from delhi cantt. constituency
#BBC
--> Text classification example to predict the category of text provided in dataset
#Sentiment Analysis
--> Sentiment analysis of data provided by innoplexus company to predict the sentiment of data in test dataset by mention of the drug name using nlp
#Loan Default
--> Classification analysis to predict probability of a person defaulting the loan
#Book Price
--> Regression problem to predict price of the book