Thinam Tamang's Projects
In this repository, I have included a Notebook which contains the Implementation of LSA, LDA and LDIA in Semantic Analysis. I have presented all the Code Snippets with proper Documentation and I hope you will gain Insights about Semantic Analysis with LSA and LDIA.
In this repository, you will gain insights about the Preparation of Linear Regression and SGD using Pytorch.
I have worked in Surname Classification Model Inferring Demographic Information which has applications from Product Recommendations to ensuring fair outcomes for users across different Demographics. I hope you will gain some insights.
In this repository, I will include Projects or Notebooks which basically focuses on Implementation of Machine Learning and Deep Learning in Tabular Data.
In this repository, you will gain insights about Natural Language Processing in Python using NLTK
In this repository, you will gain insights about the Sentiment Analysis of Text document with the Implementation of NLTK, TF-IDF, and LogisticRegression.
Hey there!! Mobile apps are everywhere. They are easy to create and can be lucrative. Because of these two factors, more and more apps are being developed. In this Project, I have done a comprehensive analysis of the Android app market by comparing over ten thousand apps in Google Play across different categories.
In this repository I have performed the Analysis using Python, API, basic Machine Learning Algorithms and Jupyter Notebook to get the insights og Toronto Neighborhood. Here I have also included the Analyzed Report for better understanding for the reader!!
Hey there!! In this notebook, I am going to reanalyze the data that made Semmelweis discover the importance of handwashing.
Personal website for Thinam Tamang
Updating.........
In this repository, you will gain insights about the Implementation of Deep Neural Network along with CNN, RNN and LSTM on Time-Series data.
In this repository, I have performed Topic Modeling using Singular Value Decomposition and Non Negative Matrix Formation along with TFIDF Count Vectors.
In this Project, I have prepared a Deep Convolutional Neural Network Model which can classify the 43 different classes of Traffic Signs Images with above 90% accuracy. You can get insights about the Implementation of Convolutional Neural Network in Image Classification and so on. Thank you !!
The repository will contain a list of projects which we will work on while reading the books of Natural Language Processing & Transformers.
Hey there!! In this Project I have tried to answer the simple Questions about the TV, Halftime Shows and the Big Games. It will give you some insights about Pandas as well. I have done this Project in Jupyter Notebook using Python Programming Language !!
Twitter Sentiment Analysis with Naive Bayes Algorithm. You can gain insights about Naive Bayes Algorithm and various Exploratory Data Analysis techniques.
While I'm not a fan nor a hater of the Kardashians and Jenners, the polarizing family intrigues me. Why? Their marketing prowess. Say what you will about them and what they stand for, they are great at the hype game. Everything they touch turns to content.
Hey there!! In this Project I have analyzed the Nobel Prize Winners and it's dominance by great scientists of "United States of America" over past decades. I have also figured out the oldest and youngest Nobel Prize Winners from this Dataset. I have done this project in Jupyter Notebook using Python Programming Language!!
In this repository, I have used NLP to determine: What are the most frequent words in Herman Melville's novel Moby Dick and how often do they occur?
In this repository, I have worked on the Sentiment Analysis of YELP Reviews Dataset using PyTorch. I hope you will gain some insights about the Implementation of PyTorch in Natural Language Processing.
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