Namas Bhandari (@namas191297)
github

namas191297

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  • Stars
    star
    83
  • Global Rank 236,921 (Top 9 %)
  • Followers 26
  • Following 12
  • Registered about 6 years ago
  • Most used languages
    Python
         52.6 %
    Jupyter Notebook
         36.8 %
    HTML
         10.5 %
  • Location ๐Ÿ‡ฎ๐Ÿ‡ณ India
  • Country Total Rank 7,706
  • Country Ranking
    HTML
         1,580
    Jupyter Notebook
         2,209
    Python
         2,403

Top repositories

1

twitter_sentiment_analysis

Flask application used to analyze tweets and their sentiments based on a hashtag.
HTML
10
star
2

instaknow_backend

Analyse sentiments of Instagram users based on their post captions
Python
9
star
3

medical_cost_estimator_startup

Fully deployed startup project to estimate/predict medical costs
HTML
6
star
4

artgan

Python
4
star
5

mouse_gesture_control

Controlling the mouse using hand gestures
Python
3
star
6

pneumonia_detection_cnn

Using transfer learning to detect Pneumonia from chest x-ray images
Jupyter Notebook
3
star
7

Machine-Learning-LinearRegression

Implementing a real life problem of calculating the fuel efficiency or a car with a dataset containing the variables. Implementation of Linear Regression in order to predict the fuel that may be used for 1200 miles with a calculation of R^2 and predicted value.
Python
3
star
8

boston_crime_analysis

Exploratory data analysis and visualization of crimes in Boston
Jupyter Notebook
3
star
9

turkey_earthquake_analysis

Visual and exploratory data analysis of turkey earthquake data
Jupyter Notebook
2
star
10

compressive_sensing

Demonstration of compressive sensing (using l0 and l1 norm) on test data.
Python
2
star
11

dogcat_breed_classifier

Classifying dog and cat breeds using transfer learning with ResNet34
Python
2
star
12

ddpm

Implementation of a simple Denoising Diffusion Probabilistic Model (DDPM)
Python
2
star
13

predicting_creditcard_approvals

Predicting credit card approvals using Machine Learning
Jupyter Notebook
1
star
14

amazon_product_webscraping

Extracting average price for any amazon product through web scraping using scrapy
Python
1
star
15

bi_partitioning

Python
1
star
16

k_way_partitioning

Python
1
star
17

intraretinal_cystoid_fluid_detection_unet

Implementation of UNet to detect intraretinal cystoid fluid.
Python
1
star
18

bee_classification

Classifying bees into Apis and Bombus using Deep learning
Jupyter Notebook
1
star
19

medicalcost_random_forest

Estimating medical costs using Random Forest regression
Jupyter Notebook
1
star
20

pattysitaliankitchen_menu_design

Menu and banner designs for a food startup
1
star
21

Machine-Learning-LARSPath

Implementing LARS with LASSO to visualize the regularization path by optimal selection of variables.
Python
1
star
22

Machine-Learning-ElasticNetRegression

An implementation of the Elastic Net regression method to compare the difference between different regression methods.
Python
1
star
23

fashion_mnist_gan

Generative adversarial network trained on the Fashion MNIST dataset
Python
1
star
24

msft_stock_prediction

Comparing the accuracy of different regression models to predict MSFT stock price
Jupyter Notebook
1
star
25

gaming_logo_designs

Logos designed for different gaming clans/groups
1
star
26

mnist_digit_classifier

Neural Network trained on MNIST Database
HTML
1
star
27

Pygame

Small-scale Indie games developed in Python using pygame and related modules.
1
star
28

tedx_itmu_promotion_design

Brochures and poster made for a TEDx ITMU event using Adobe Photoshop.
1
star
29

rest_api_flask

Boilerplate code to deploy a REST API using Flask
Python
1
star
30

Machine-Learning-RidgeRegression

Implementing a Ridge Regression model to generate data and predict the values.
Python
1
star
31

sign_language_mnist_cnn

CNN trained to predict American sign language using sign language MNIST dataset
Jupyter Notebook
1
star
32

Machine-Learning-LassoRegression

Solving a problem using Lasso Regression to show the difference between Ridge-Regression and Lasso.
Python
1
star
33

lr_fraud_detection

Fraud transaction detection from credit card data using logistic regression
Jupyter Notebook
1
star
34

weed_discriminant_nn

2 layer neural network to detect weeds in soybean crops
Jupyter Notebook
1
star
35

waste_classifier

Waste classification using deep learning
1
star
36

mobilenet_tfjs_week1

In-browser Image Classification using TensorFlow.js with MobileNet
HTML
1
star
37

tf_lowlevel_implementation

Using the low level tensorflow API to implement ML models
Jupyter Notebook
1
star
38

medical_cost_eda

Exploratory data analysis and visualization of medical costs based on several features
Jupyter Notebook
1
star
39

bee_image_data_preprocessing

Pre-processing image data and files and preparing them to train a ML model
Jupyter Notebook
1
star
40

evaluating_mvs_in_cpc

Multi View Stereo on Internet Images
Python
1
star
41

Machine-Learning-LogisticRegression

Implementing a LogisticRegression model to solve a categorical problem involving the record for a person with age and salary where we need to predict whether he/she will buy a laptop or not.
Python
1
star
42

Machine-Learning-RidgeRegressionCV

Implementing a Ridge regression model using Cross-validation technique.
Python
1
star
43

gaussianmixturemodels

Gaussian Mixture Models and Expectation Maximization with an example
Jupyter Notebook
1
star