## Recently Published

##### Support Vector Machine - Salary Predication

To Prepare a classification model using SVM for salary data

##### Support Vector Machine - ForestFire Dataset

Prepare support vector machines model for classifying the area under fire for forestfires data

##### Neural Networks - 50startups - ANN

Build a Neural Network model for 50_startups data to predict profit

##### Neural Networks - Concrete file - ANN

Prepare a model for strength of concrete data using Neural Networks

##### Principle Component Analysis(PCA) - Wine data

Perform Principal component analysis and perform clustering using first
3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain
optimum number of clusters and check whether we have obtained same number of clusters with the original data

##### Text Mining - ClinicalTrail -Hepatocellular Carcinoma

To extract the clinical trails performed on HCC and predict the overall outcome of the trails using word cloud and sentimental analysis

##### IMDB Reviews - AquaMan - Text Mining

Extracted the Customer reviews from IMDB on the movie “AQUAMAN”
and performed wordcloud and # Sentimental analysis on the same.

##### Ecommerce Website Reviews - Amazon - Gaming Laptop

Extract reviews from Amazon on Gaming Laptop and perform sentimental analysis on the same.

##### Text Mining,WordCloud and Sentimental Analysis - Twitter

Extracted the Facebook User on their tweets(from twitter) and performed wordcloud and
Sentimental analysis on the same

##### Salary Prediction using Naive Bayes Model

To Predict whether the salary is greater or lesser than 50K using Naive Bayes Model.

##### HAM\SPAM classification - NB Model

Classification of HAM\SPAM message using Naive Bayes Model

##### KNN Algorithm- Glass Dataset - Alternate Method

Method 2 - Prepare a model for glass classification using KNN

##### KNN Algorithm - Glass Dataset

Prepare a model for glass classification using KNN

##### KNN Algorithm - Zoo Dataset

Implement a KNN model to classify the animals in to categories.

##### Prediction/Diagnosis of Tumor using Random Forest

To Predict whether the tumor is Benign or Malignant using Random Forest

##### Random Forest- Predict the IRIS dataset

Random Forest- Predict the IRIS dataset

##### Random Forest - Predict on Risky Vs Good Customer on Fraud Check Data

To Predict on Risky Vs Good Customers on Fraud Check using Random Forest

##### Random Forest - Predict on high sales of Company Data

Predict the high sales of Company data using Random Forest

##### MRF Stock Prediction using Auto Arima Model

Predict the Stock value for MRF using Auto Arima Model

##### Plastic Sales Prediction using AutoArima Model

Predict the sales of Plastic for the next 10 years using Auto Arima Model

##### CocaCola Sales Forecast using AutoArima Model

Predict the Sales for Cocacola for the next 10 years using AutoArima Model

##### Airlines Time Series using Auto Arima Model

Predict the Passengers information for the next 10 years using Auto Arima Model

##### Coca Cola Time Series Forecast

Predict the Time Series Forecast of Cocacola using RMSE value

##### Time Series Forecast - Airlines Data

Capture the Time Series Forecast on Airline Data

##### Association Rules - Groceries Data

To capture the association rules for groceries data and analyze their support, confidence and lift ratio.

##### Association Rules - Transaction Detail

To capture the association rules and observe their confidence, support and lift ratios.

##### Association Rules - MyMovies Data

To Observe different set of rules for movies data and capture their confidence, Support and Lift ratios

##### Association Rules - Book Data

To Observe the Support ,Confidence level using apriori algorithm for Association Rules

##### Decision Tree - Fraud Data

To Prepare a model on fraud data to check on the probability of Risky Vs Good. Risky patients -Taxable Income <= 30000

##### Decision Tree - Company Data

To Capture the Attribute that causes high sales for the Clothing manufacturing Company

##### Kmeans Clustering - CrimeData

CrimeData using KMeans Clustering

##### KMeans Clustering - EWAirlines

East West Airlines using KMeans Clustering:

##### Hierarchical Clustering - Crime Data

Crime Data - Clustering Using Euclidean and Complete Linkage Method.

##### HClustering - EastWestAirlines

East West Airlines - Clustering Using Euclidean and ward.D2 Linkage Method.

##### Logistic regression Model - Affairs Model

To Predict whether the probability or chances of having an extra marital affairs for a person based on the given Input.

##### Multilinear Regression - 50_Startups_Data

Prepare a prediction model for profit of 50_startups data using multi linear regression.Do transformations for getting better predictions of profit and
make a table containing R^2 value for each prepared model.

##### Multilinear Regression - Computer data - Sales Prediction

This model is to predict the sales of the Computer using speed, hd, ram, screen size, cd, multi,premium,ads and trend.

##### Simple Linear Regression - Salary Hike and Years of Experience

Build a prediction model to predict the salary hike based on years of experience.

##### Linear Regression Model on Calories Consumed

This model details the prediction results on how a patients weight has gained based on the calories consumed.

##### Simple Linear Regression - Delivery Time and Sorting Time

To predict delivery time based on sorting time

##### Logistic Regression Model - Bank Data

Logistic Regression Model - Bank Data. To Predict whether a client has taken a Fixed Deposit or not.

##### Multilinear Regression_toyota Corolla

Predicting the Price of Toyota Corolla based on Age, Kilometer ran for, Horse Power, Doors, Gears, CC, Quarterly Tax and Weight.

##### Simple Linear Regression - Salary Hike and Churn out Rate

Build a prediction model for Churn_out_rate