SalesForce Training

Project Description: This project deals with doing predictive analysis based upon the available data as to which insurance policy will be beneficial for a particular age group of people.

Domain: Insurance

This project covers the following topics

• Statistical analysis

• Probability and its types

• Association rule

• Recommendation engine

• Collaborative user-based filtering

Project Description: This project will help you in analyzing the available traffic on the road in a particular area at a specific time period. This works on capturing the GPS location of mobile phones. It calculates the number of mobiles available in that area at that time and predicts the traffic situation accordingly.

Domain: Social

This project covers the following topics:

• Data visualization

• Data mining

• Plotting charts, graphs, bars, etc

• Correlation and covariance

Project Description: In this project, you will work on types of customers and their shopping behaviours. Every individual has a different type of mood, choice, and shopping pattern and you can categorize your customer more or less under a particular category. Based upon their category, you can predict their choices and decision whether he/she is going to buy or not.

Domain: Retail

This project covers the following topics:

• K-means clustering
• Classification trees and decision trees
• Association rule mining
• Apriori algorithm and its implementation process in R

Project Description: This project deals with understanding the real-time problem statement, manipulating data, and then building an application.

Domain: Mobility

This project covers the following topics:

• Correlation and covariance

• Probability

• K-means

• Cost complexity pruning, pre-pruning, and post-pruning

Project Description: This project helps you to manipulate the available data at that location to predict whether setting up a new venture will be profitable or not.

Domain: Social

This project covers the following topics:

• Introduction to component analysis, PCA in R, and procedure to implement PCA

• K-means

• Data mining, visualization, clustering

• Decision trees and random forest

• Confusion matrix, accuracy, true positive rate, false-positive rate

Project Description: You will do a thorough analysis of the previous trends of the company before buying its share.

Domain: Investment

This project covers the following topics:

• Regression analysis

• Random forest in R, and other data implementation techniques

• Cross-validation and building logistic models based on real-life applications of regression

• Probability

Project Description: This project is quite interesting when you are willing to change your job stream. This is a bit risky when you are entering into a new field altogether. You have to analyze the pros and cons, such as cost of undergoing training, efforts, time, waiting period probably and most importantly salary for the new role. You can use TensorFlow in R, and deep learning on the ground data to make the decision.

Domain: Human resource

This project covers the following topics:

• TensorFlow in R

• Deep learning

• Probability

• Data mining and visualization

Project Description: In this project, based upon user’s genre preferences, using R programming you can model a recommendation system that can suggest a movie to watch.

Domain: Entertainment

This project covers the following topics:

• Artificial intelligence and deep learning

• Evaluation with ROCR, detailed formulas

• Evaluate performance metrics

• Predictive analysis using linear regression

Project Description: This project will help you prepare a system using machine learning algorithms and R programming to detect the credit card fraudulence.

Domain: Finance

This project covers the following topics:

• Machine learning algorithm

• R programming

• Canopy clustering, Hierarchical clustering, and Theoretical aspect of K-means  

• Probability

Project Description: Uber takes help from data analysis greatly to expand its reach rapidly. This project helps you to learn how Uber takes a decision, improves marketing strategy, offers promotional deals using data analytics.

Domain: Transport

This project covers the following topics: