Thinam Tamang's starred repositories
DuplicateQuestions__Recognition
I have build a LSTM Model using Trax which can identify the Duplicate Questions or Similar Questions which is useful when we have to work with several versions of the same Questions.
SurnameClassification__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.
AmazonReviews__Analysis
In this repository I have performed the Text Analysis of Amazon Reviews Dataset using only TensorFlow and TensorBoard. I hope you will gain some insights about the Implementation of TensorFlow here.
YelpReviews__Analysis
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.
Welcome-to-the-community
Get started in the world of data. The community of #66daysofdata collaborated to bring you a roadmap to get you started in to the various discipline of data science. A community solely for Educational purposes.
Chatbot__Sequence2Sequence
Here, I have prepared a Chatbot using Sequence to Sequence Neural Networks. I hope you will gain insights about the Implementation of Sequence to Sequence Learning in Chabot.
NeuralNetworks__SentimentAnalysis
In this repository, I have worked out on the Large Movie Review Dataset for the Sentiment Analysis of Text. I have Implemented the CNN, RNN and LSTM to predict the Sentiment of the Text Data.
SemanticAnalysis__LDA..LDIA
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.
TopicModeling__NLP
In this repository, I have performed Topic Modeling using Singular Value Decomposition and Non Negative Matrix Formation along with TFIDF Count Vectors.
TrafficSigns..Classification
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 !!
LanguageTranslator_EnglishFrench
I have prepared a Model which can translate English Language to French Language with above 80% accuracy. I have used Tensorflow and Keras for this Project.
Covid19..DataAnalysis
In this Project, I have worked with Covid19 Data and HDI Data to analyze the relationships between the increasing rate of Covid19 patients and various HDI factors like Healthy Life, Freedom and so on.
Tabular_Data..AustinAnimalCenter
In this repository, I will include Projects or Notebooks which basically focuses on Implementation of Machine Learning and Deep Learning in Tabular Data.
Twitter..Sentiment..Analysis
Twitter Sentiment Analysis with Naive Bayes Algorithm. You can gain insights about Naive Bayes Algorithm and various Exploratory Data Analysis techniques.
TimeSeries_Sunspots
In this repository, you will gain insights about the Implementation of Deep Neural Network along with CNN, RNN and LSTM on Time-Series data.
FacialExpression_Classification
In this repository, I have created a model which recognizes Happy Face, Sad Face, Surprise Face, Angry Face and Laughing Face using Python, Fastai API and Convolutional Neural Networks.
Cats.vs.Dogs_Classification
In this repository, I have used Convolutional Neural Network with InceptionV3 trained on Imagenet to classify Cats vs Dogs. It is one of competition from Kaggle. Hope you can get insights about implementation of CNN.
Machine_Learning..Stanford
Hey there!! In this repository I have included all the Programming exercises of Machine Learning offered by Stanford in Coursera. It was taught by Andrew Ng. It has several interesting Projects like Spam Filtering, Handwritten Digits Recognition and many more. You can access from here!!
TV_Halftime_Shows..BigGame
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 !!
TheAndroidAppMarket_on_GooglePlay
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.
GitHub_History.of.ScalaLanguage
Hey there!! With almost 30k commits and a history spanning over ten years, Scala is a mature programming language. It is a general-purpose programming language that has recently become another prominent language for data scientists. I'm going to read in, clean up, and visualize the real world project repository of Scala.
VisualHistory_of_NobelPrizeWinners
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!!
TheDiscovery_of_Handwashing
Hey there!! In this notebook, I am going to reanalyze the data that made Semmelweis discover the importance of handwashing.
PredictingCreditCard_Approval
Hey there!! In this repository I have applied the Supervised Machine Learning techniques to predict the Approval and Denial of Credit Card Applications. This repository will give you the insights of Supervised Machine Learning Techniques.
Bitcoin_CryptocurrencyMarket..Analysis
Hey there, In this repository I will be Analyzing the Bitcoin Cryptocurrency Market. I have applied simple Data Manipulation and Data Visualization techniques. I have done this analysis using Jupyter Notebooks and Python Programming Language. Hope you get some insights about Data Manipulation!!
NIPS_Papers..NLP
The NIPS conference (Neural Information Processing Systems) is one of the most prestigious yearly events in the machine learning community. At each NIPS conference, a large number of research papers are published. In this repository I am going to analyze the Hottest topic in Machine Learning using Jupyter Notebook & Python. I have used Natural Language Processing techniques to analyze.
MachineLearning_in_WeatherData
In this project, we analyzed the Weather Pattern of Kathmandu basically focusing on Temperature and Precipitation. We have used Machine Learning viz Random Forest Regressor, and Plotly & Seaborn for Data Visualization.
ImagePrediction_with_ResNet50
In this repository, I am going to predict the image using the pre-trained ResNet50 modules. ResNet-50 is a convolutional neural network that is 50 layers deep. ResNet50 is a pretrained version of the network trained on more than a million images from the ImageNet database.
FaceDetection_and_PrivacyProtection
In this repository, I used Python and Keras to detect the Face and Blur them for Privacy Protection. I hope you will gain some insights about Face Detection with Python and Keras.