Niranjan Kumar (@Niranjankumar-c)
github

Niranjankumar-c

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  • Stars
    star
    193
  • Global Rank 126,670 (Top 5 %)
  • Followers 124
  • Following 16
  • Registered over 6 years ago
  • Most used languages
    Jupyter Notebook
         94.4 %
    R
         5.6 %
  • Location 🇮🇳 India
  • Country Total Rank 3,974
  • Country Ranking
    Jupyter Notebook
         226
    R
         885

Top repositories

1

DeepLearning-PadhAI

All the code files related to the deep learning course from PadhAI
Jupyter Notebook
101
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2

CreditRiskAnalytics

Predicting the default customers
Jupyter Notebook
18
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3

GradientDescent_Implementation

Implement different variants of gradient descent in python using numpy
Jupyter Notebook
11
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4

Feedforward_NeuralNetworrks

Build our neural networks from scratch
Jupyter Notebook
11
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5

Perceptron_Model

The repository contains the implementation of perceptron model.
Jupyter Notebook
8
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6

CustomerSegmentation-Banking

Develop a customer segmentation to define marketing strategy. Used PCA to reduce dimensions of the dataset and KMeans++ clustering technique is used for clustering and profiling of clusters.
Jupyter Notebook
7
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7

LeadGeneration

Lead generation is a challenge that businesses have faced since the dawn of capitalism.
Jupyter Notebook
4
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8

Complete_Python-3_BootCamp_Advanced

Learn Python with projects covering game & web development, web scraping, MongoDB, Django, PyQt, and data visualization
Jupyter Notebook
4
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9

DeepLearning-Pytorch-IBM

Deep Learning with Python and PyTorch IBM Edx Course
Jupyter Notebook
3
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10

PriceOptimization

Analyzing different pricing methodologies
Jupyter Notebook
3
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11

TelecomChurn

Analysing the telecom customer churn data
Jupyter Notebook
2
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12

DataScienceBlogAnalysis_NLP

Code to Scrap the Blog content and Analyze using NLP
Jupyter Notebook
2
star
13

HRAnalyticsEmployeeAttrition

Uncover the factors that lead to employee attrition using IBM Employee Data
Jupyter Notebook
2
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14

DataAnalytics_using_ClickstreamData

Casestudy completed as part of BigData training from analytix labs
2
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15

DeepLearning_A-Z_NeuralNetworks_Python

Learn to create Deep Learning Algorithms in Python from two Machine Learning & Data Science experts
Jupyter Notebook
2
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16

CreditCardSpendPrediction_Regression

Predicting the drivers affecting the credit card spending
Jupyter Notebook
1
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17

OverFitting

Analyse OverFitting of data
R
1
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18

AnalyzingStockData

Exploratory Data Analysis of bank stock prices
Jupyter Notebook
1
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19

SqoopCaseStudy-ALabs

Sqoop Case Study's done during Analytixlabs Dig Data Classes
1
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20

PredictBuildingDamage_MLChallenge

Determining the degree of damage that is done to buildings post an earthquake using Machine Learning.The damage to a building is categorized in five grades. Each grade depicts the extent of damage done to a building post an earthquake.
Jupyter Notebook
1
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