Thinam Tamang's Projects
I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.
I am sharing my Journey of 66DaysofData in Natural Language Processing.
In this repository, I have used Cookie Cats Game to analyze its popularity and tried to answer some common questions like, When does the new player tend to play game more?!
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.
The repository contains a list of projects which I have worked while reading the book Approaching Any Machine Learning Problem.
In this notebook, I will train a convolutional neural network to classify images of American Sign Language (ASL) letters. After loading, examining, and preprocessing the data, I will train the network and test its performance.
Here, you will gain insights about the implementation about the popular YOLO model in Object Detection which will ultimately helps in Autonomous Driving.
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!!
Personal website for Thinam Tamang
Here, In this repository, I have solved one of the problems of Kaggle Competition, " Blue Book for Bulldozers"
In this repository, I have implemented KNeighborsClassifier to classify the Breast Cancer: Malignant or Benign.
Building GPT ...
Hey there!! Here, I have included the basic programs of C Programming Language.
I have built a Model using Random Forest Regressor of California Housing Prices Dataset to predict the price of the Houses in California.
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.
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.
I have prepared a Neural Networks Model which helps in recognizing the object on an image.
In this repository, I have built Movie Recommendation System using Fast.ai approach which was built on top of PyTorch. You can get insights about the Implementation of Fastai in building Recommendation System easily with high accuracy.
The repository is dedicated towards the implementation of Computer Vision.
In this repository, you will see various implementation of the CNN in real world problems and gain useful insights from those problems.
Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
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.
Making of cuda kernel
The repository contains a list of projects & notebooks which I have worked on while reading the book Dive into Deep Learning.
I have prepared a pretrained Neural Network Model which helps in Image Classification. The Model can classify 120 different breeds of dogs.
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.
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.
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.
I will implement Fastai in each projects present in this repository.
I have prepared a Deep Convolutional Generative Adversarial Networks here.