AkshayRamteke

Data Scientist / Analyst

Nagpur, Maharashtra, India

Pinned Repositories

-Neural-Network-Forestfire-Dataset-Using-Python
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-Random-Forest-Fraud-Dataset-Using-R
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-Support-Vector-Machine-Forestfire-Dataset-Using-R
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Association-Rules-Book-Dataset-Using-Python
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Association-Rules-Book-Dataset-Using-R
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Association-Rules-Movies-Dataset-Using-Python
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Association-Rules-Movies-Dataset-Using-R
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Clustering-Airline-Dataset-Using-Python
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Clustering-Airline-Dataset-Using-R
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Clustering-Crime-Dataset-Using-Python
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AkshayRamteke's Repositories

AkshayRamteke/-Neural-Network-Forestfire-Dataset-Using-Python
Language:Python00
AkshayRamteke/-Random-Forest-Fraud-Dataset-Using-R
Language:R00
AkshayRamteke/-Support-Vector-Machine-Forestfire-Dataset-Using-R
Language:R00
AkshayRamteke/Decision-Tree-Company-Dataset-Using-Python
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AkshayRamteke/Decision-Tree-Company-Dataset-Using-R
Language:R
AkshayRamteke/Decision-Tree-Fraud-Dataset-Using-Python
Language:Python
AkshayRamteke/Desicion-Tree-Fraud-Dataset-Using-R
Language:R
AkshayRamteke/Drug-s-side-effect-analysis
The requirement of client was to analyze the side effects of medicines for the different conditions and multiple age groups. Powerbi reports and dashboard helps the client to check the status of medicines by analyzing reviews. To analyze reviews did the text mining and sentiment analysis of reviews.
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AkshayRamteke/Forecasting-Airline-Data-Set-Using-R
About Forecast the Airlines Passengers data set. Prepare a document for each model explaining how many dummy variables you have created and RMSE value for each model. Finally which model you will use for Forecasting.
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AkshayRamteke/Forecasting-Cocacola-Dataset-Using-Python
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AkshayRamteke/KNN-Glass-Dataset-Using-Python
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AkshayRamteke/KNN-Glass-Dataset-Using-R
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AkshayRamteke/KNN-Zoo-Dataset-Using-Python
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AkshayRamteke/KNN-Zoo-Dataset-Using-R
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AkshayRamteke/Naives-Bayes-Salary-Dataset-Using-Python
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AkshayRamteke/Neural-Network--Forestfire-Dataset-Using-R
Language:R
AkshayRamteke/Power-BI-Projects
AkshayRamteke/Project-2-Forecast-Gold-Price
Data provided is related to gold prices. The objective is to understand the underlying structure in your dataset and come up with a suitable forecasting model which can effectively forecast gold prices for next 30 days
Language:Jupyter Notebook
AkshayRamteke/Random-Forest-Company-Dataset-Using-Python
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AkshayRamteke/Random-Forest-Company-Dataset-Using-R
Language:R
AkshayRamteke/Random-Forest-Fraud-Dataset-Using-Python
Language:Python
AkshayRamteke/SQL-Projects-
AkshayRamteke/Support-Vector-Machine-Forestfire-Dataset-Using-Python
Language:Python
AkshayRamteke/Support-Vector-Machine-Salary-Dataset-Using-Python
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AkshayRamteke/Support-Vector-machine-Salary-Dataset-Using-R
Language:R
AkshayRamteke/Text-Mining-Amazon-Data-Extraction-Using-Python
1) Extract tweets for any user (try choosing a user who has more tweets) 2) Perform sentimental analysis on the tweets extracted from the above.
Language:Python
AkshayRamteke/Text-Mining-Amazon-Review-Extraction-of-Subcosciuos-Mind-Book-Using-R
1) Extract reviews of any product from ecommerce website like amazon 2) Perform sentimental analysis.
Language:R
AkshayRamteke/Text-Mining-Twitter-Extraction-Elon_Musk-Tweets
Extract tweets for any user (try choosing a user who has more tweets) 2) Perform sentimental analysis on the tweets extracted from the above.
Language:R
AkshayRamteke/Text-Mining-Twitter-Extraction-SRT-Using-Python
About 1) Extract tweets for any user (try choosing a user who has more tweets) 2) Perform sentimental analysis on the tweets extracted from the above
Language:Python
AkshayRamteke/The-Spark-Foundation
I am contributing as a Data Science and Business Analytics Intern at The Sparks Foundation. All the tasks I do under this internship are included in this repository collectively.
Language:Jupyter Notebook