An innovative enthusiastic who love analyzing problems, predicting model and creating a hypothesis, and delivering novel algorithms and data-driven solutions.
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cohort_analysis
February 26, 2021 – February 26, 2021
cohort_analysis — GitHub repository
View ProjectExport_and_import_data_from_mongodb_usnig_python
January 10, 2021 – January 10, 2021
Export your CSV file to Mongo Db with this Python Code in jupyter notebook.
View ProjectHINDUSTAN-UNILEVER-stock-prediction
November 5, 2020 – November 5, 2020
HINDUSTAN-UNILEVER-stock-prediction — GitHub repository
View ProjectCrossValidation-Linear-Regression
September 18, 2020 – September 18, 2020
This notebook demonstrates how to do cross-validation (CV) with linear regression as an example (it is heavily used in almost all modelling techniques such as decision trees, SVM etc.). We will mainly use sklearn to do cross-validation.
View ProjectKNN
September 18, 2020 – September 18, 2020
K-Nearest Neighbors (KNN) is one of the simplest algorithms used in Machine Learning for regression and classification problem. KNN algorithms use data and classify new data points based on similarity measures. The data is assigned to the class which has the nearest neighbors.
View ProjectGradient-descent
September 18, 2020 – September 18, 2020
In this Python notebook we will go through an example of implementing Gradient Descent in simple and multiple linear regression, for this we will be using housing dataset.
View ProjectMedia-Company-Case-Study
September 18, 2020 – September 18, 2020
Problem Statement: A digital media company (similar to Voot, Hotstar, Netflix, etc.) had launched a show. Initially, the show got a good response, but then witnessed a decline in viewership. The company wants to figure out what went wrong.
View ProjectMultiple-Linear-Regression
September 18, 2020 – September 18, 2020
Multiple linear regression (MLR), also known simply as multiple regression, is a statistical technique that uses several explanatory variables to predict the outcome of a response variable. The goal of multiple linear regression (MLR) is to model the linear relationship between the explanatory (independent) variables and response (dependent) variable.
View ProjectNumpy
August 25, 2020 – August 25, 2020
Numpy is the most used Python libraries for data science. NumPy consists of a powerful data structure called multidimensional arrays.
View ProjectCultural Fit Analysis
The candidate's projects primarily focus on fundamental data science and machine learning concepts, indicating a strong interest in the field. The diversity of projects (regression, classification, data export, case study) suggests a willingness to explore different problem types. However, all projects are personal and use similar technologies (Jupyter Notebook), which limits the assessment of collaborative experience or exposure to diverse production environments. The experience level is 0, which aligns with the personal project focus.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no assessment was completed.