SNEHA KUMARI's Projects
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.
📈 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.
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,
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.
This is minor project given by "TECHNOCOLABS" on Big mart product outlet sales analysis and prediction
TASK-3 by "THE SPARK FOUNDATION" EDA on dataset "SAMPLESUPERSTORE"
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)
This is my second task by "Oasis Infobyte". They gave me an excellent chance to study and demonstrate my skills on "Analysis Unemployment "
This is my Third task by "Oasis Infobyte" on SALES PREDICTION USING PYTHON. It was really great experience to work upon.
Here I ve a drawn bar chart and histogram to visualize the distribution of a categorical or continuous variable.
Data Cleaning and EDA on Titanic Dataset
Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data.
Analyze and visualize sentiment patterns
Config files for my GitHub profile.
Technohacks Task 1 : Perform Data Cleaning in titanic Dataset, Here i ve removed missing values and outliers using IQR
Calculate summary statistics (mean, median, mode, standard deviation) for a dataset.
Visualization using Histogram, Here i ve super store dataset and performed visualization