Santapaji

APPLE_PROJ_COGNIZANT

App usage of well established Apple products 100 customers who are using the apple device they want to use the apple media products as well as apple news app Find out the number of users enrolled in Apple devices (iPhone,iPad, macbook apple desktop etc) and uses Apple apps (internal and external) Get 8 files - 5 external and 3 internal files 5 external files - 2 are csv, 2 json, 1 spreadsheet we have to bring into unix as raw data and while move this to mysql we have all the data quality rules 5 data quality rules need to apply while bringing data from external files to unix system make we us all the data quality rules(NULL-surname, space can be used ) and From the 2 csv files - music data from Sony and Tseries (vendors from sony and T Series) Json files - videos data from US and China (video streaming data/audio streaming data) Find the video app it can be another country also Spreadsheet - News data (anonymous)-news data (Times of India) need to work on it In the 4 tables - 2 tables have existing users using music and video products 1 table already has news data 1 master table should have all the products containing existing and new users every table should have at least 10 columns all the files to be loaded into UNIX (join all the files with tables) 10 transformation rules to be coded in Python and loaded into master table Create one more table which should have combination of all the segments for individual customers (at least 100 customers - each should be associated with one segment ID, each video/audio should have own unique segment ID) Create 3 age groups - under 18, under 13, under 21 (for India) under 18, under 13, above 18 - for US All the customers that are above 18 should have access to all the products with segment ID and product combination All the cutomers under the age between 13 and 18 have the access to audio All the customers that are under 13 should have access to only music with segment ID and product combination After uploading everything show charts of all age group based on age and products Technology - unix, python, sql, data visualisation, hive, hdfs Product has to be well developed and tested Unix Shubham,Sanjay Python Balasubramani, Joswin, Abhisangh MySQL Joswin,Priyanaka,Saurab, Somesh,Shubham Data Visualization Joswin,Somesh,Yash,Abhisangh Hive Saurabh Hadoop Sanjay, Saurabh.

ARORA

THIS CONTAINS MY 2 TASKS FOR CNN AND CONTRASTIVE LEARNING

chale_cutie

🌹 The Perfect Date Proposal Featuring Diljit Dosanjh 🌹

COVID19ANALYSIS

covid 19 analysis and prediction using R

Data-Mining

data_Mining_project

This is my Data mining project which aims to build a image classifier and compare the results among various classifiers taught in class such as CNN, KNN, NBC, SVM and XGboost

DROPDOWN-LIST_WT

EVENT-REGISTERATION-WEBSITE

WT ASSIGNMENT 2

Facial-Emotion-Expressions

post describes the process of building an image classifier using a dataset of facial expressions. The author uses the Keras deep learning library and provides a detailed walkthrough of the steps involved in the process. The steps include data preprocessing, building and training the model, and evaluating the model's performance.

map-website

A tool to recursively scrape websites.

Santapaji/APPLE_PROJ_COGNIZANT

App usage of well established Apple products 100 customers who are using the apple device they want to use the apple media products as well as apple news app Find out the number of users enrolled in Apple devices (iPhone,iPad, macbook apple desktop etc) and uses Apple apps (internal and external) Get 8 files - 5 external and 3 internal files 5 external files - 2 are csv, 2 json, 1 spreadsheet we have to bring into unix as raw data and while move this to mysql we have all the data quality rules 5 data quality rules need to apply while bringing data from external files to unix system make we us all the data quality rules(NULL-surname, space can be used ) and From the 2 csv files - music data from Sony and Tseries (vendors from sony and T Series) Json files - videos data from US and China (video streaming data/audio streaming data) Find the video app it can be another country also Spreadsheet - News data (anonymous)-news data (Times of India) need to work on it In the 4 tables - 2 tables have existing users using music and video products 1 table already has news data 1 master table should have all the products containing existing and new users every table should have at least 10 columns all the files to be loaded into UNIX (join all the files with tables) 10 transformation rules to be coded in Python and loaded into master table Create one more table which should have combination of all the segments for individual customers (at least 100 customers - each should be associated with one segment ID, each video/audio should have own unique segment ID) Create 3 age groups - under 18, under 13, under 21 (for India) under 18, under 13, above 18 - for US All the customers that are above 18 should have access to all the products with segment ID and product combination All the cutomers under the age between 13 and 18 have the access to audio All the customers that are under 13 should have access to only music with segment ID and product combination After uploading everything show charts of all age group based on age and products Technology - unix, python, sql, data visualisation, hive, hdfs Product has to be well developed and tested Unix Shubham,Sanjay Python Balasubramani, Joswin, Abhisangh MySQL Joswin,Priyanaka,Saurab, Somesh,Shubham Data Visualization Joswin,Somesh,Yash,Abhisangh Hive Saurabh Hadoop Sanjay, Saurabh.

Santapaji/ARORA

THIS CONTAINS MY 2 TASKS FOR CNN AND CONTRASTIVE LEARNING

Santapaji/chale_cutie

🌹 The Perfect Date Proposal Featuring Diljit Dosanjh 🌹

Santapaji/COVID19ANALYSIS

covid 19 analysis and prediction using R

Santapaji/Data-Mining

Santapaji/data_Mining_project

This is my Data mining project which aims to build a image classifier and compare the results among various classifiers taught in class such as CNN, KNN, NBC, SVM and XGboost

Santapaji/DROPDOWN-LIST_WT

Santapaji/EVENT-REGISTERATION-WEBSITE

WT ASSIGNMENT 2

Santapaji/Facial-Emotion-Expressions

post describes the process of building an image classifier using a dataset of facial expressions. The author uses the Keras deep learning library and provides a detailed walkthrough of the steps involved in the process. The steps include data preprocessing, building and training the model, and evaluating the model's performance.

Santapaji/map-website

A tool to recursively scrape websites.

Santapaji/Music-player

Santapaji/NBC_for_rotten_tomatoes

Santapaji/static_website

Santapaji/WT_ASS_04