NITA-Shivam
I am Student of Electronics and Communication Engineering at NIT Agartala. I have my interest in exploring AI and doing Coding
Agartala
Pinned Repositories
Employee-Performance-Analysis-using-Machine-Learning
Data Analysis of Employees of different departments of any general firm using Machine Learning and predict the performance rating of different employees based on their information Data Loading, Analysis, pre-processing such as data wrangling, visualization, Model building, Model validation and Model deployment were the different steps involved in Project Here I have used the python programming tool and its different libraries such as >Numpy >Pandas >Matplotlib >Seaborn >Sklearn etc.
MOVIE-RECOMMENDATION-SYSTEM
Companies like Amazon, Netflix, Linkedin, and Pandora leverage recommender systems to help users discover new and relevant items (products, videos, jobs, music), creating a delightful user experience while driving incremental revenue. Here I provide a practical overview of recommender systems. First, three major systems are reviewed: content-based, collaborative filtering, and hybrid, followed by discussions on cold start, scalability, interpretability, and exploitation/exploration.
IrisSpecies_data_analysis
This is a famous problem of Kaggle Compltetion plateform wherea data set is provided called iris data. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The columns in this dataset are: Id SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm Species.
Longest-Concatenated-Word-algorithm
Write a program that reads a file containing a alphabetically sorted list of words (one word per line, no spaces, all lower case) and: 1. Find the longest word in the file that can be constructed concatenating copies of shorter words also found in the file. 2. Also report the second longest word found 3. Also report the total count of words that can be constructed of other words in the file.
N-Puzzle-Game-JAVA
This is a basic game in JAVA.Main objective of this game is placing all the numbers at its correct postion present in square board by moving only adjacent numbers to empty tile.Here I have used Oops concept of JAVA and JAVA Swing api's for making interacting .
soft-eng-interview-prep
Everything you need to know for a Software Engineering interview
Statistical_analysis_TitanicProblemm
This is kaggle Competition problem: Description : The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
NITA-Shivam's Repositories
NITA-Shivam/MOVIE-RECOMMENDATION-SYSTEM
Companies like Amazon, Netflix, Linkedin, and Pandora leverage recommender systems to help users discover new and relevant items (products, videos, jobs, music), creating a delightful user experience while driving incremental revenue. Here I provide a practical overview of recommender systems. First, three major systems are reviewed: content-based, collaborative filtering, and hybrid, followed by discussions on cold start, scalability, interpretability, and exploitation/exploration.
NITA-Shivam/Longest-Concatenated-Word-algorithm
Write a program that reads a file containing a alphabetically sorted list of words (one word per line, no spaces, all lower case) and: 1. Find the longest word in the file that can be constructed concatenating copies of shorter words also found in the file. 2. Also report the second longest word found 3. Also report the total count of words that can be constructed of other words in the file.
NITA-Shivam/soft-eng-interview-prep
Everything you need to know for a Software Engineering interview
NITA-Shivam/IrisSpecies_data_analysis
This is a famous problem of Kaggle Compltetion plateform wherea data set is provided called iris data. It includes three iris species with 50 samples each as well as some properties about each flower. One flower species is linearly separable from the other two, but the other two are not linearly separable from each other. The columns in this dataset are: Id SepalLengthCm SepalWidthCm PetalLengthCm PetalWidthCm Species.
NITA-Shivam/Statistical_analysis_TitanicProblemm
This is kaggle Competition problem: Description : The sinking of the RMS Titanic is one of the most infamous shipwrecks in history. On April 15, 1912, during her maiden voyage, the Titanic sank after colliding with an iceberg, killing 1502 out of 2224 passengers and crew. This sensational tragedy shocked the international community and led to better safety regulations for ships. One of the reasons that the shipwreck led to such loss of life was that there were not enough lifeboats for the passengers and crew. Although there was some element of luck involved in surviving the sinking, some groups of people were more likely to survive than others, such as women, children, and the upper-class. In this challenge, we ask you to complete the analysis of what sorts of people were likely to survive. In particular, we ask you to apply the tools of machine learning to predict which passengers survived the tragedy.
NITA-Shivam/Employee-Performance-Analysis-using-Machine-Learning
Data Analysis of Employees of different departments of any general firm using Machine Learning and predict the performance rating of different employees based on their information Data Loading, Analysis, pre-processing such as data wrangling, visualization, Model building, Model validation and Model deployment were the different steps involved in Project Here I have used the python programming tool and its different libraries such as >Numpy >Pandas >Matplotlib >Seaborn >Sklearn etc.
NITA-Shivam/N-Puzzle-Game-JAVA
This is a basic game in JAVA.Main objective of this game is placing all the numbers at its correct postion present in square board by moving only adjacent numbers to empty tile.Here I have used Oops concept of JAVA and JAVA Swing api's for making interacting .