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                            𝐖𝐄𝐋𝐂𝐎𝐌𝐄 𝐓𝐎 𝐌𝐘 𝐆𝐢𝐭𝐇𝐮𝐛 𝐩𝐫𝐨𝐟𝐢𝐥𝐞! 𝐈 𝐒𝐧𝐞𝐡𝐚,

⚡ABOUT ME

As a dedicated and ambitious student, I am currently pursuing a career in data science from Ajeenkya D Y PATIL PUNE, With a particular interest in data visualization. My academic journey has been driven by a passion for understanding complex datasets and effectively communicating insights through visual representations.From an early stage, I developed a fascination for numbers, patterns, and their potential applications in various domains. This curiosity led me to delve into the field of data science, where I could combine my analytical skills with my creative side. As I began my studies, I quickly realized the importance of data visualization in making complex information more accessible and engaging.

🌐 Social Acc reach me:

LinkedIn: linkedin.com/in/sneha-kumari-73396621a

Email Id: [email protected]

HackerRank: https://www.hackerrank.com/snehazest27?hr_r=1

💻 Tech Stack: #learning Mode *PYTHON *MYSQL *PANDAS *NUMPY *MATPLOTLIB

SNEHA KUMARI's Projects

-score-_prediction_model icon -score-_prediction_model

This is my first task by "The Sparks Foundation". They provided me with an excellent opportunity to learn and demonstrate my abilities. This is a basic linear regression model that allows us to predict the student's grades based on the number of hours studied.

bharat-intern-task-1 icon bharat-intern-task-1

📈 Stock Price Prediction with LSTM 🚀 In this project, I had the exciting opportunity to dive into the world of stock market analysis and prediction using the Long Short-Term Memory (LSTM) model.

bharat_intern-task-2 icon bharat_intern-task-2

Titanic Classification: System which tells whether the person will be save from sinking. Factors that might influence a person's likelihood of survival in the context of the Titanic sinking. Here is Pclass, sex, age, SibSp ,Parch are responsible for sinking,

bhart_intern-task-2 icon bhart_intern-task-2

This repository contains a data science project that focuses on predicting the survival of passengers aboard the Titanic during the tragic disaster. The goal is to build a machine learning model that can accurately predict whether a passenger survived or not based on various features such as socio-economic status, age, gender, and more.

oibsip-task--1 icon oibsip-task--1

This is my first task by "Oasis Infobyte". They provided me with an excellent opportunity to learn and demonstrate my abilities. This is a basic logistic Regression to classify the iris flower data. . Task-1 Used - Python (Jupyter Notebook)

oibsip-task--2 icon oibsip-task--2

This is my second task by "Oasis Infobyte". They gave me an excellent chance to study and demonstrate my skills on "Analysis Unemployment "

oibsip-task--5 icon oibsip-task--5

This is my Third task by "Oasis Infobyte" on SALES PREDICTION USING PYTHON. It was really great experience to work upon.

prodigy_ds_01 icon prodigy_ds_01

Here I ve a drawn bar chart and histogram to visualize the distribution of a categorical or continuous variable.

prodigy_ds_03 icon prodigy_ds_03

Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data.

technohacks_task1 icon technohacks_task1

Technohacks Task 1 : Perform Data Cleaning in titanic Dataset, Here i ve removed missing values and outliers using IQR

technohacks_task2 icon technohacks_task2

Calculate summary statistics (mean, median, mode, standard deviation) for a dataset.

technohacks_task3 icon technohacks_task3

Visualization using Histogram, Here i ve super store dataset and performed visualization

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