Satish Kumar Sahu (@Satishkumar0651)
github

Satishkumar0651

Twitter logo Share LinkedIn logo Share Facebook logo Share
  • Stars
    star
    16
  • Global Rank 735,430 (Top 26 %)
  • Followers 1
  • Following 14
  • Registered over 6 years ago
  • Most used languages
    Jupyter Notebook
         76.9 %
    R
         7.7 %
    JavaScript
         7.7 %
    HTML
         7.7 %
  • Location 🇮🇳 India
  • Country Total Rank 41,342
  • Country Ranking
    R
         859
    Jupyter Notebook
         3,528

Top repositories

1

facial-keypoint-identification

The problem statement is from Analytics vidya hackhathon. We are in the era where unlocking our mobile phones is as simple as looking at the device. Before the face is recognized as the face of owner, it is critical to perform facial keypoint detection as a part of face recognition. This problem is especially challenging when face images are taken with extreme poses, lighting, expressions, and occlusions
Jupyter Notebook
2
star
2

Ads_Click_Predictions

Ads Click prediction using Machine Learning
Jupyter Notebook
1
star
3

Yelp-star-prediction

Star prediction on yelp data set
1
star
4

AudifyAssignment

Jupyter Notebook
1
star
5

Text_mining

Write a code to extract the keywords (like Inheritance, encapsulation, multithreading) from a document , and also mention the keywords in order of their weightages in a Google doc or excel sheet
R
1
star
6

weather-app

Weather app is built using nodejs. it can be used to get weather related infomation. use npm install to install the node modules after downloading the files.
JavaScript
1
star
7

EnergyStarPrediction

EnergyStarPrediction
Jupyter Notebook
1
star
8

Yelp-star-predictions

Star prediction on yelp data set
Jupyter Notebook
1
star
9

sahuportfolio

End to End ML Projects
HTML
1
star
10

Order_Forecasting

Prediction of quantity (Qty) for any one of the SKUs (Item Name).
Jupyter Notebook
1
star
11

new-project1

Upcoming projects
1
star
12

Prediction-of-ads

The dataset represents a set of possible advertisements on Internet pages. The features encode the geometry of the image (if available) as well as phrases occuring in the URL, the image's URL and alt text, the anchor text, and words occuring near the anchor text. The task is to predict whether an image is an advertisement ("ad") or not ("nonad").
Jupyter Notebook
1
star
13

1.-ad_org

Problem Statement For any video YouTube provides some data metrices such as Views, Likes, Comments, Shares, etc available publically. Based on these data metrices one has to predict the ad views i.e. views earned through advertizements. External library or any dataset can be used for the prediction.
Jupyter Notebook
1
star
14

churn-Reduction

• Churn (loss of customers to competition) is a problem for companies because it is more expensive to acquire a new customer than to keep your existing one from leaving. This problem is targeted at prediction of churn reduction using analytics concepts. Task performed on the data Data preprocessing Machine learning tools used:- Random forest, Decision Tree, Linear Regression,
Jupyter Notebook
1
star
15

employee-absenteesim

XYZ is a courier company. As we appreciate that human capital plays an important role in collection, transportation and delivery. The company is passing through genuine issue of Absenteeism. The company has shared it dataset and requested to have an answer on the following areas: 1. What changes company should bring to reduce the number of absenteeism? 2. How much losses every month can we project in 2011 if same trend of absenteeism continues?
Jupyter Notebook
1
star