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data science enthusiastic
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Predictive-Model-For-Handling-Missing-Data
January 13, 2019 – January 15, 2019
Predictive Model For Handling Missing Data
View ProjectAbout-Practice-Problem-Is-this-joke-funny-
December 2, 2018 – December 2, 2018
About-Practice-Problem-Is-this-joke-funny- — GitHub repository
View ProjectQuora-Insincere-Questions-Classification
November 11, 2018 – November 11, 2018
Quora-Insincere-Questions-Classification — GitHub repository
View Projectvoting-and-Stacking-Classifiers
November 4, 2018 – November 4, 2018
Ensemble Machine Learning Algorithms in Python with scikit-learn Combine Model Predictions Into Ensemble Predictions
View ProjectWeighted-Nearest-Neighbors
October 26, 2018 – October 26, 2018
Weighted-Nearest-Neighbors — GitHub repository
View Projectone-step-model-training
October 7, 2018 – October 8, 2018
This packages for apply classifications and regressions,performance metric for data-set. And generate reports please read README.md then u will get idea how to call and use. At last bar chart will print to get clarity about accuracy.
View ProjectElGamal_encryption
October 6, 2018 – October 6, 2018
In cryptography, the ElGamal encryption system is an symmetric key encryption algorithm for private-key cryptography which is based on the public key exchange. The system provides an additional layer of security by asymmetrically encrypting keys previously used for asymmetric message encryption.
View ProjectApriori-Algorithm
October 5, 2018 – October 5, 2018
Association rule mining algorithms such as Apriori are very useful for finding simple associations between our data items. They are easy to implement and have high explain-ability. However for more advanced insights, such those used by Google or Amazon etc., more complex algorithms, such as recommender systems, are used. However, you can probably see that this method is a very simple way to get basic associations if that's all your use-case needs.
View ProjectNetwork_optimizer
September 1, 2018 – September 1, 2018
Python based tool for automating network data sorting and filtering for RF engineers at Field
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. However, the lack of team-based projects or professional experience makes it difficult to fully assess collaboration and broader cultural alignment. The projects are diverse within the data science domain, indicating a broad interest.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are brief, limiting insight into collaboration or problem-solving approaches.