Vaibhav Kumar (@vaibhav05cse)
  • Stars
    star
    50
  • Global Rank 341,187 (Top 12 %)
  • Followers 13
  • Registered over 5 years ago
  • Most used languages
    Python
    44.4 %
  • Location 🇮🇳 India
  • Country Total Rank 11,484
  • Country Ranking
    Python
    8,806

Top repositories

1

Deep-Learning-for-Customer-Churn-Prediction

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2

Singular-ValueDecomposition-SVD-based-Movie-Recommendation

Python
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3

Tweeter-Sentiment-Analysis-for-Political-Leaders

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4

Review-Analysis-NLP

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5

Kernel-Principal-Component-Ananlysis

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6

Clustering-of-Customers

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7

Object-Detection-using-YOLO

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8

Extract-Text-from-Image

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9

Trasnfer-Learning-VGG-CIFAR10

Jupyter Notebook
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10

News-Article-Scraping-and-Summarizing

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11

Object-Detection-in-Image-using-YOLO

Jupyter Notebook
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12

Python-Capsule-Dose-for-Data-Analysis

Python Capsule Dose
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13

Tweeter-Data-Analysis

Analysis of Tweets Searched with a Keyword
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14

Fashion-MNIST-Classification-

Jupyter Notebook
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15

Time-Series-Anomaly-Detetcion

Jupyter Notebook
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16

DNN-for-Bank-Crisis-Prediction

Python
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17

Image-Classification-using-Convolutional-Neural-Network

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18

Review-Scraping

Jupyter Notebook
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19

K-Means-and-Hierarchical-Clustering-in-Customer-Segmentation

Python
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20

Stock-Prediction-through-LSTM-Model

Python
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21

Fruit-Classification-using-Convolutional-Neural-Network-

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22

Predicting-Buyers-and-Non-Buyers-of-an-Advertised-Product

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23

Generative-Adversarial-Network-GAN-for-Fashion-Image-Generation

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24

Vaibhav_Predictive_Analytics1

In this project, i have formulated the relationship between the value of SENSEX and the stock price of Infosys. This relationship has been formulated using a Simple Linear Regression Model implemented in Python. Through this relation, we can predict the price of Infosys on the basis of SENSEX.
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