Shruti
Shruti
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Data Science Internship at the spark foundation #gripjuly2024
Medium Link: medium.com/@shrutipitale240/data-science-internship-at-the-spark-foundation-gripjuly2024-04ab3ff92cbf
About Me ► My name is Shruti. I'm from Mumbai and I'm an engineering student. I make amazing video🥰.
Thanks For Reading😘
มุมมอง: 12

วีดีโอ

covid 19 Timeline analysis at the spark Foundation #gripjuly2024
มุมมอง 33 หลายเดือนก่อน
About Me ► My name is Shruti. I'm from Mumbai and I'm an engineering student. I make amazing video🥰. Thanks For Reading😘
Stock Market Prediction using Numerical and Textual Analysis at the spark Foundation #GRIPJULY2024
มุมมอง 183 หลายเดือนก่อน
Stock Market Prediction using Numerical and Textual Analysis This project is a part of The Sparks Foundation GRIP internship and highlights time series analysis of historical stock prices and sentiment analysis of news headlines. Historical Stock Prices Dataset: Extracted from Yahoo Finance News Headlines Data: Available from bit.ly/36fFPI6 Methodologies 1. Time Series Analysis I have used the ...
decision tree at the spark Foundation #GRIPJULY24
มุมมอง 33 หลายเดือนก่อน
About Me ► My name is Shruti. I'm from Mumbai and I'm an engineering student. I make amazing video🥰. Thanks For Reading😘
iris at the spark Foundation #GRIPJULY24
มุมมอง 93 หลายเดือนก่อน
Iris Dataset Clustering Overview From the given ‘Iris’ dataset, predict the optimum number of clusters and represent it visually. About Me ► My name is Shruti. I'm from Mumbai and I'm an engineering student. I make amazing video🥰. Thanks For Reading😘
supervised learning at the spark Foundation #GRIPJULY24
มุมมอง 193 หลายเดือนก่อน
medical-prediction Overview This dataset contains information about individuals and their medical insurance charges. The goal is to analyze factors influencing insurance costs. Columns age: Age of the insured individual in years. sex: Gender of the insured individual (male or female). bmi: Body Mass Index (BMI) of the insured individual, a measure of body fat based on height and weight. childre...
Retail at the spark Foundation #GRIPJULY24
มุมมอง 173 หลายเดือนก่อน
Retail Transactional Retail Dataset of Electronics Store This dataset contains information about an online electronic store. The store has three warehouses from which goods are delivered to customers. The goal of this EDA is to analyze warehouse efficiency, order price, and customer satisfaction. Goals of EDA Warehouse Efficiency: Evaluate the performance of each warehouse in terms of delivery ...
Fifa at the spark Foundation #GRIPJULY24
มุมมอง 173 หลายเดือนก่อน
FIFA Sports Data Analysis FIFA data to see how to apply EDA and Statistics concepts Exploratory Data Analysis on Player Attributes Description: This dataset contains detailed information about football (soccer) players, including their personal details, attributes, and performance metrics. The dataset is useful for analyzing player characteristics, performance trends, and potential growth. Kagg...
Terrorism at the spark Foundation #GRIPJULY24
มุมมอง 183 หลายเดือนก่อน
Terrorism Exploratory data analysis on global terrorism Description: This project involves an exploratory data analysis (EDA) on a comprehensive dataset of global terrorism incidents. The dataset includes detailed information about each terrorist event, such as the date and location of the incident, the groups involved, the types of attacks and weapons used, and the outcomes in terms of casualt...

ความคิดเห็น

  • @ankitamarik3993
    @ankitamarik3993 3 หลายเดือนก่อน

    Great work !! But if u could have use your voice to explain it then that would be much better.... Rest of the things are 👍

  • @kashish5831
    @kashish5831 3 หลายเดือนก่อน

    The meticulous nature of your work is commendable. Your detailed analysis has acted as a spotlight, revealing the dataset's features with exceptional clarity. The comprehensive breakdown and insightful explanation demonstrate your strong analytical skills and attention to detail. This level of precision will undoubtedly benefit the superstore in identifying areas for improvement and driving informed decision-making. Excellent job!

  • @Tayyaba-c4t
    @Tayyaba-c4t 3 หลายเดือนก่อน

    Great job on completing The Sparks Foundation's EDA task on retail using Python! Your analysis of the sales data was insightful, and the visualizations using Pandas and Matplotlib were really effective. It shows your strong grip on the python , you even use python for your analysis and visualization of the data . Looking forward to your great work

  • @Tayyaba-c4t
    @Tayyaba-c4t 3 หลายเดือนก่อน

    Your ability to analyze and visualize the data using python with the help of libraries like matplotlib , seaborn , numpy and pandas shows your experience of working with them. The dataset was quite rich and heavy to handle but your analytical approaches makes it easy to tackle. The EDA of the dataset demonstrated the useful insights drenched through the raw provided data

  • @Tayyaba-c4t
    @Tayyaba-c4t 3 หลายเดือนก่อน

    Such a detail EDA of terrorism , the data cleaning process and transformation was handles very smoothly. The EDA of the dataset shows very accurate performance and deliver useful insights. Keep it up

  • @joshpeter1871
    @joshpeter1871 3 หลายเดือนก่อน

    "Great job on completing The Sparks Foundation's EDA task on retail using Python! Your analysis of the sales data was insightful, and the visualizations using Pandas and Matplotlib were really effective. Impressive work!"

  • @aayushisharma388
    @aayushisharma388 3 หลายเดือนก่อน

    Keep it u p

  • @aayushisharma388
    @aayushisharma388 3 หลายเดือนก่อน

    Very nice keep going pal!