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Hi πŸ‘‹, I'm Priyanka

A Data Science enthusiast πŸ˜ƒ

coding

jpriyankaa

  • 🌱 I’m currently learning Data Science

  • ⚑ Fun fact Everything Interests me.

Connect with me:

priyanka.

Languages and Tools:

git mongodb mysql pandas python scikit_learn

jpriyankaa

Β jpriyankaa

Priyanka's Projects

credit-card-weekly-dashboard icon credit-card-weekly-dashboard

The objective of this project is to develop a comprehensive credit card weekly dashboard that provides key performance metrics and trends. This dashboard will enable stakeholders to effectively monitor and analyze credit card operations, helps in informed decision-making and strategy development

data-analysis-using-excel icon data-analysis-using-excel

Let's wrangle some data in Excel! We'll start by cleaning it up (trimming, fixing data types, removing duplicates), then dive into analysis (averages, quartiles, boxplots) using Data Analysis tools. Pivot tables will help us explore further, and finally, we'll build a report with formatting, lookups, and clever functions.

dogs-vs.-cats-image-classification-using-cnn-keras icon dogs-vs.-cats-image-classification-using-cnn-keras

This project demonstrates the use of Convolutional Neural Networks (CNNs) to classify images of dogs and cats. The dataset used is the "Dogs vs. Cats" dataset from Kaggle. The model is built using Keras with TensorFlow as the backend.

movie-recommender-sysytem icon movie-recommender-sysytem

A content-based movie recommender suggests similar films based on attributes like genre, cast, and plot. User inputs a favorite movie, system outputs top 5 similar movies, aiding in personalized discovery.

scientific-calculator-with-voice-command-intergration icon scientific-calculator-with-voice-command-intergration

This project is a scientific calculator built using Python's Tkinter for the GUI, math for calculations, pygame for sound, and speech_recognition for voice commands. It supports a wide range of mathematical operations and can be operated manually or via voice commands.

social-buzz-accenture-data-analytics-virtual-job-simulation-on-forage icon social-buzz-accenture-data-analytics-virtual-job-simulation-on-forage

The objective was to assist Social Buzz in identifying the top 5 performing content categories on their platform by analyzing their vast unstructured data. The analysis aimed to uncover key insights into user behavior, content popularity, and trends, providing Social Buzz with actionable recommendations to optimize content strategies.

time-series- icon time-series-

This project involves time series analysis, examining Tesla Inc.'s (TSLA) stock performance from 2010 to 2024. Time series analysis, which studies data points collected at specific time intervals, was used to identify trends, seasonal patterns & fluctuations in Tesla’s stock prices, insights were derived from visualizations & resampling techniques.

time-series-eda-and-stock-analysis-of-tesla-2010-2024- icon time-series-eda-and-stock-analysis-of-tesla-2010-2024-

This project involves performing an Exploratory Data Analysis (EDA) and a comprehensive stock analysis of Tesla Inc. (TSLA) from June 29, 2010, to June 25, 2024, utilizing various Python libraries such as yfinance for data retrieval, pandas for data manipulation, datetime for date and time operations, and matplotlib for data visualization.

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