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I have attached the techradar.sql file   I am still sending a copy of the contents of files techradar.sql here -- Create new schema as ecommerce-- Import .csv file users_data into MySQL-- (right click on ecommerce schema -> Table Data import Wizard -> Give path of the file -> Next -> choose options : Create…

The below is link to Dashboard https://docs.google.com/spreadsheets/d/1U2-YBp2mopGDFowI7Vaj00PJdOvxRCIc/edit?usp=drive_link&ouid=103286046492277190255&rtpof=true&sd=true   The below is link to macros file https://docs.google.com/spreadsheets/d/1km0Bm8VFvkT84pGQcgMnOc94rPY083yD/edit?usp=drive_link&ouid=103286046492277190255&rtpof=true&sd=true…

Once a student is passed out from a Institute or College, he/she is known as Alumni of the Institute. Alumni’s career growth plays important role in Institute’s ranking and other networking activities. In this project, career choices of alumni of two Universities will be analyzed with respect to their passing…

1A: English Dictionary App I used pickle class module for file management as it can serialize data Alternatively json class can be used for file management I used decorator to check on value being added or updated into file as title case I used another decorator for adding designs. I used a dictionary to enter words…

 EDA on Vehicle Insurance Customer Data I used  pandas to create dataframes and analyzed data. I analyzed data using different criterias  Age, Vs Annual Premium Vehicle Age Vs annual premium Gender Vs annual premium Is data balanced between genders in relation to annual premium I did cleaning of  data checking nulls and…

I saved this Dashboard on public.tableau.com The Dashboard speaks for itself. https://public.tableau.com/views/Project2TableauLiteracyRateinTamilNaduFINAL/Dashboard1?:language=en-US&publish=yes&:display_count=n&:origin=viz_share_link  

Project 1 - COVID-19 Vaccinations Trend Analysis Aim The aim of this project is to analyze the data in detail on vaccinated people and fully vaccinated people by country in 2021-2022 Introduction Since the start of the COVID-19 outbreak, WHO has worked with countries and areas in Different regions on public health measures…

I have successfully completed the project on Heart Disease Prediction using various Machine Learning Models. I tried to incorporate all Features with Target Column to identify the most important marker to predict a Heart attack. I used graphs where necessary and incorporated Skewness and Kurtosis taking each feature…

Project Objective:As a Data Scientist at an international humanitarian NGO, the task is to strategically allocate $120 million in newly raised funding. The core objective is to identify and prioritize countries in dire need of aid based on socio-economic and health indicators that reflect overall development levels. Through…

Detailed Documentation of Renewable Energy Share AnalysisBy Yeragudipati AnupamaAim:The aim of this project is to analyze the renewable energy share across various regions from 1965 to 2021, focusing on identifying global trends, regional differences, and the impact of economic development on the adoption of renewable…

1)The values from the table:X:0,1,2,3,4P(X):0.35,0.25,0.15,0.15,0.101. Mean (μ):The mean is calculated as:μ=∑X⋅P(X)μ=(0⋅0.35)+(1⋅0.25)+(2⋅0.15)+(3⋅0.15)+(4⋅0.10)μ=0+0.25+0.30+0.45+0.40=1.40Mean (μ) = 1.402. Variance (σ2):The variance is:σ2=∑P(X)⋅(X−μ)2First, calculate (X−μ)2 for each X:X=0(0−1.4)2=1.96X=1(1−1.4)2=0.16X=2(2−1.4)2=0.36X=3(3−1.4)2=2.56X=4(4−1.4)2=6.76Now…

 Why there is a difference in the formula of variance for population and sampleChatGPT said:ChatGPTThe difference in the formula for variance between a population and a sample arises due to the concept of1. Population Variance:The formula for the population variance is:σ2=1N∑i=1N(xi−μ)2\sigma^2 = \frac{1}{N} \sum_{i=1}^{N}…

1. Perform Gradient Descent in Python with any loss function.Refer to Jupyter Notebook attached.2. Difference between L1 & L2 Gradient descent method.The L1 and L2 Gradient Descent methods refer to optimization techniques used to minimize a loss function in machine learning, often in conjunction with regularization.…

Pros and cons of SVM. Support Vector Machines (SVMs) are powerful supervised machine learning algorithms used for classification and regression tasks. Here's a breakdown of their pros and cons: Pros of SVM: Effective in High Dimensional Spaces: SVMs perform well in spaces with many features (high-dimensional spaces), making…

Apply KNN to the “Surface defects in stainless steel plates” and identify the differencesRefer to python code. KNN outperforms RandomForest and GridSearchCV. Data is imbalance hence stratified sampling was done and output had many variables so it was first put into numpy array and mode of the data was used. Graphs have…

1. What is a Neural Network?A Neural Network is a computational model inspired by the human brain. It consists of layers of artificial neurons that process input data to make predictions or classifications. It is commonly used in machine learning for tasks like image recognition, speech processing, and pattern detection.…

How does similarity is calculated if data is categorical in nature1. Hamming Distance Used when categorical variables are binary (0/1, Yes/No, True/False). It calculates the number of positions at which two strings of equal length are different. Formula: d(x,y)=∑i=1nI(xi≠yi)d(x, y) = \sum_{i=1}^{n} I(x_i \neq y_i)d(x,y)=i=1∑n​I(xi​=yi​)…

???? Automobile Dataset (1985) Analysis – Project Report ???? Objective The purpose of this project is to perform data cleaning, exploratory data analysis (EDA), and basic machine learning modeling on the 1985 Automobile dataset. This analysis aims to uncover insights into vehicle fuel efficiency, engine performance, and trends…

First KMeans (Initial Run) Objective: To apply KMeans clustering on the car dataset (likely based on features like fuel type, city mpg, highway mpg, etc.), without much prior tuning or pre-processing. Steps: Standard KMeans clustering applied using default parameters (e.g., random initialization, fixed number of clusters).…