Kritwik1009
Eager to implement knowledge of Mathematics to solve real world problem with the help of Python in the field of Machine Learning and Artificial Intelligence.
Robert Bosch Engineering and Business SolutionsBangalore, India
Pinned Repositories
AdvancedRegression_HousePricePrediction
A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not.
Data-Visualisation-Case-Study
Google Play store Data Visualisation for Checking factors influencing Ratings
Ecommerce_LinearRegression
To analyze which variables affect the total amount spent by customers
Footwear-and-Crypocurrency-Data-Analysis
Analysis of 2 different datasets.
Investment_Analysis
The CEO of Spark Funds wants to understand the global trends in investments so that she can take the investment decisions effectively.
Lending-Club-Loan-Default-Analysis
You work for a consumer finance company which specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. Two types of risks are associated with the bank’s decision: If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company.
MelanomaDetection
Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis. Created a CNN model, which can accurately detect 9 classes present in the dataset.
Telecom_Churn_Prediction
Prediction of churn in Telecom industry.
Virat-Kohli-Data-Analysis
Analyse Virat Kohli's Performances over the years
Kritwik1009's Repositories
Kritwik1009/AdvancedRegression_HousePricePrediction
A US-based housing company named Surprise Housing has decided to enter the Australian market. The company uses data analytics to purchase houses at a price below their actual values and flip them on at a higher price. For the same purpose, the company has collected a data set from the sale of houses in Australia. The company is looking at prospective properties to buy to enter the market. You are required to build a regression model using regularisation in order to predict the actual value of the prospective properties and decide whether to invest in them or not.
Kritwik1009/Data-Visualisation-Case-Study
Google Play store Data Visualisation for Checking factors influencing Ratings
Kritwik1009/Ecommerce_LinearRegression
To analyze which variables affect the total amount spent by customers
Kritwik1009/Footwear-and-Crypocurrency-Data-Analysis
Analysis of 2 different datasets.
Kritwik1009/Investment_Analysis
The CEO of Spark Funds wants to understand the global trends in investments so that she can take the investment decisions effectively.
Kritwik1009/Lending-Club-Loan-Default-Analysis
You work for a consumer finance company which specializes in lending various types of loans to urban customers. When the company receives a loan application, the company has to make a decision for loan approval based on the applicant’s profile. Two types of risks are associated with the bank’s decision: If the applicant is likely to repay the loan, then not approving the loan results in a loss of business to the company If the applicant is not likely to repay the loan, i.e. he/she is likely to default, then approving the loan may lead to a financial loss for the company.
Kritwik1009/MelanomaDetection
Melanoma is a type of cancer that can be deadly if not detected early. It accounts for 75% of skin cancer deaths. A solution that can evaluate images and alert dermatologists about the presence of melanoma has the potential to reduce a lot of manual effort needed in diagnosis. Created a CNN model, which can accurately detect 9 classes present in the dataset.
Kritwik1009/Telecom_Churn_Prediction
Prediction of churn in Telecom industry.
Kritwik1009/Virat-Kohli-Data-Analysis
Analyse Virat Kohli's Performances over the years