kotasanjeeva52

Sanjeeva Kota's repositories

BlockChain_BITCOIN_prediction-using-LSTM-with-Time-Series

I had worked on so real world Transaction Data for predicting #Bitcoin Price. Here I am using AI technologies to predicting prices. Using LSTM with Time Series in Jupyter Notebook

Language:Jupyter Notebook000

Object_Detection

Using Computer Vision recognization of images over webcam.

Language:Jupyter Notebook000

Mindstix-Company-Challenge-on-retailrock-ecommerce

Problem Statement Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods

Language:R000

Mindstix-Company-Challenge

Problem Statement

000

Predict-the-Happiness

Problem Statement Customer Happiness has become the top priority for service & product based companies. To an extent, some of the companies even appoint CHOs (Customer Happiness Officer) to ensure delivering a kickass and delightful customer experience. Well, machine learning is now playing a pivotal role in delivering that experience. The ability to predict happy and unhappy customers give companies a nice head-start to improve their experience. TripAdvisor is the world's largest travel site where you can compare and book hotels, flights, restaurants etc. The data set provided in this challenge consists of a sample of hotel reviews provided by the customers. Analysing customers reviews will help them understand about the hotels listed on their website i.e. if they are treating customers well or if they are providing hospitality services as expected. In this challenge, you have to predict if a customer is happy or not happy.

Language:Jupyter Notebook000

Societe-Generale-Finacial

Societe Generale (SocGen) is a French multinational banking and financial services company. With over 1,54,000 employees, based in 76 countries, they handle over 32 million clients throughout the world on a daily basis. They provide services like retail banking, corporate and investment banking, asset management, portfolio management, insurance and other financial services. With this problem, we’ll help SocGen in building the intelligence to predict, act and maximise their portfolio returns. Think of a portfolio as a basket. The basket can contain diverse instruments such as equity stocks, debentures, mutual funds etc. Each portfolio is allotted to portfolio managers. Intelligence about future performance would help these portfolio managers to act and take necessary steps in order to overcome losses. In this challenge, given the randomly sampled data, you’ve to predict the portfolio’s annual returns. Keeping data privacy in mind, some of the variables have been anonymised.

Language:R000

SALES-FORECASTING-OF-RETAIL-CLOTHING-PRODUCT-CATEGORIES

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods.

Language:R100