Saish Chipkar
chipkarsaish
T.E Artificial Intelligence and Data Science Student | Data Scientist | Machine Learning
Languages
Repos
34
Stars
0
Forks
0
Top Language
Jupyter Notebook
Loading contributions...
Repositories
34No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
🌦️ Weather Dashboard – API Integration & Data Visualization This project is a weather dashboard built using Python, Streamlit, and the OpenWeatherMap API.
No description provided.
Data Science Project- Crop yield prediction using various location and weather parameters using Artificial Neural Network
End to End Data Science Project. Predict math test score of student using Machine learning model.
Perform Churn prediction using Artificial Neural Network
No description provided.
No description provided.
No description provided.
Performed Exploratory Data Analysis (EDA) on Google Play Store app data using Pandas, Matplotlib, and Seaborn. Analyzed app categories, ratings, installs, and price distributions. Visualized key insights to identify trends, outliers, and correlations in app performance.
Performed Exploratory Data Analysis on a flight ticket price dataset to uncover key insights. Analyzed features like duration, stops, departure time, and airline. Identified patterns, handled missing data, and visualized factors influencing ticket prices for better prediction.
Performed EDA on the Wine Quality dataset to explore feature distributions and relationships. Visualizations like histograms and heatmaps revealed that alcohol and sulphates positively correlate with quality, while volatile acidity showed a negative correlation.
SMOTHE is a technique used in machine learning to address imbalance datasets where the minority class has significant fewer instances than the majority class. SMOTHE involves generating Synthetic instances of the minority class by interpolating between existing instances.
No description provided.
Process of converting a categorical features values into meaningful numerical values. OneHotEncoding is a method to convert categorical data into a binary (0 or 1) format so that it can be used in machine learning models. Each unique category becomes a new column, and a row has 1 in the column of its category and 0s elsewhere.
News Category Classification is a powerful NLP task where the goal is to classify news articles or headlines into predefined categories like sports, politics, technology, entertainment, etc.
📃 A SCRIPT THAT READS DATA FROM A FILE, ANALYZES IT, AND GENERATES A FORMATTED PDF REPORT USING LIBRARIES LIKE FPDF OR REPORTLAB. SAMPLE REPORT IS GIVEN IN THE REPOSITORY AS 'report_with_graphs (5).pdf'.