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Yogeshwar Manerikar

Data Analyst

Skills Acquired at Skill-Lync :

  • PYTHON
  • DATA SCIENCE

Introduction

An Ardent Data Analyst and Computer Science Post Graduate seeking to set and prove my Skills. Accomplish the challenging rolls as well as achieve personal and professional goals Data exits me to capture insights from it .Data is the new oil and I am the refiner of the crude-oil. Data Capturing, Preparation and Presentation is gives me boost. Finding the different ways to solve the problem

13 Projects

Project 2 - EDA on Vehicle Insurance Customer Data

Objective:

submited

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26 Feb 2022 04:23 PM IST

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    Project 1 - English Dictionary App & Library Book Management System

    Objective:

    submited

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    02 Mar 2022 03:34 PM IST

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      Project 1

      Objective:

      submited

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      07 Mar 2022 07:13 AM IST

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        Project 2

        Objective:

        Q1 Q2 Q3 Q4   Q5     Q.6   Q7. Q.8 Q.9 Q.10   Q11 Q12. 13   14 15 16  

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        17 Mar 2022 05:03 PM IST

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          Basics of Probability and Statistics Week 1 Challenge

          Objective:

            Q1.   Sample Variance Population Variance The formula for sample variance is given as ∑ni=1(xi−μ)2n−1 ∑ i = 1 n ( x i − μ ) 2 n − 1 The formula for population variance is equal to ∑ni=1(xi−μ)2n ∑ i = 1 n ( x i − μ ) 2 n Where xi = ith. Number,…

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          18 Mar 2022 06:31 PM IST

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          Basics of ML & AL Week 2 Challenge

          Objective:

          Q1. 1st Business Moment: Measure of Central Tendency  This moment speaks about the center of the data point and indicates where the majority of data points lie. a.) Mean: The average of all the data points in a data set is called the mean. For Population, μ = (Σ Xi) / N  here it is nothaving the same…

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          21 Mar 2022 05:47 AM IST

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            Supervised Learning - Prediction Week 3 Challenge

            Objective:

            Q1. in ipython file Q2. The key difference between these techniques is that the less important feature’s coefficient to zero thus, removing some feature altogether. So, this works well for feature selection in case we have a huge number of features. L1 regularization penalizes the sum of absolute values of the weights,…

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            23 Mar 2022 07:25 AM IST

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              Supervised Learning - Classification Week 7 Challenge

              Objective:

              ADVT:- SVM works relatively well when there is a clear margin of separation between classes.  more effective in high dimensional spaces becaus kernal tric SVM is effective in cases where the number of dimensions is greater than the number of samples this is used in computer vision for reduced the dimentanality. SVM…

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              04 Apr 2022 01:41 PM IST

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                Supervised Learning - Classification Week 8 Challenge

                Objective:

                high dimensional data may not perform as well as other techniques. KNN can benefit from feature selection that reduces the dimensionality of the input feature space. this is the mAIN key note   Pros:- As there is no training period thus new data can be added at any time since it wont affect the model. cons:- Does…

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                06 Apr 2022 09:39 AM IST

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                  Unsupervised Learning - Kmeans Week 11 Challenge

                  Objective:

                  Q1.computing similarity between categorical data instances is not straightforward owing to the fact that there is no explicit notion of ordering between categorical values. To overcome this problem, several data-driven similarity measures have been proposed for categorical data. The behavior of such measures directly depends…

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                  07 Apr 2022 01:41 PM IST

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                    Supervised Learning - Classification Week 9 Challenge

                    Objective:

                    Q1. The neuron is the smallest unit and the building block of a neural network. A neuron takes a set of inputs, performs some mathematical computations, and gives an output. The inputs and outputs are numbers, either positive or negative. In this example, the neuron takes two inputs. However, there is no limit to the number…

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                    07 Apr 2022 02:55 PM IST

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                      Project 1

                      Objective:

                      I clean the data and given some insights and also done some mean mode for remove null i  used one hot for horsepower_binned  

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                      07 Apr 2022 07:14 PM IST

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                        Project 2

                        Objective:

                        done

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                        08 Apr 2022 02:49 PM IST

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                          Showing 1 of 13 projects

                          4 Course Certificates

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                          Core and Advanced Python Programming

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                          SQL for Data Science

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                          Machine Learning Fundamentals In Depth

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                          Advanced Deep Learning using Python

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                          Academic Qualification

                          Master of Science

                          Goa University

                          05 Apr 2022 - 06 Apr 2022

                          Bachelor of Science in Engineering

                          Goa University

                          01 Feb 2022 - 02 Feb 2022

                          12th

                          Garware College Of Commerce

                          16 Jul 2014 - 11 Apr 2016

                          10th

                          Ramanbaug

                          17 Jun 2013 - 09 Apr 2014

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