Aniket Gupta

Committed job seeker with a history of meeting company needs with consistent and organized practices. Skilled in working under pressure and adapting to new situations and challenges to best enhance the organizational brand.

• IBM Certification in Data Analysis

• SQL Database.
• In this project I have created a Dummy Database(bookstore) as Inventory System where the tables are connected to each other with their given relationship and the tables are (authid,authname,authgender,authage,authaddress) and few queries about it.
• Python(Quiz Game)
• The logic of Quiz Game with Python The Quiz game asks the player questions about Full forms. They have one chances to answer each question you don’t want to take the quiz too difficult. Each correct answer will score a point. At the end of the game, the program will reveal the player’s final score. CREDIT CARD FRAUD DETECTION MACHINE LEARNING Machine learning models are able to learn from patterns of normal behavior. They are very fast to adapt to changes in that normal behavior and can quickly identify patterns of fraud transactions. This means that the model can identify suspicious customers even when there hasn't been a chargeback yet. We will be using the various algorithms and the best algorithm we get ADABoostClassiifier.
• DIABETES PREDICTION
• MACHINE LEARNING We will be predicting that whether the patient has diabetes or not on the basis of the features we will provide to our machine learning model, and for that, we will be using the various algorithms and the best algorithm we get DecisionTreeClassifier.
• ECOMMERCE CUSTOMERS –
• MACHINE LEARNING The main aim of this kernel is to use Linear regression in order to figure out how to maximize the Yearly Amount spent by the customers.