Logistic Regression Analysis of Survived Data in Titanic Dataset Using Python - 搜索视频

#codsoft #datasciencestudent #titanicdataset #python #learningbydoing | Nakshatra Gahokar

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🚢 Task 1: Titanic Survival Prediction | Data Science Built my first classification model using the Titanic dataset to predict passenger survival. This project helped me understand the complete machine learning workflow—from data cleaning and visualization to model training and evaluation using Logistic Regression. Learning step by step and ...

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Titanic Survival Analysis: Data-Driven Insights on Passenger Survival Rates | Vismaya Sajeevan posted on the topic | LinkedIn

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waitttt on Instagram: "Today I took on the classic “Hello World” of data science projects: The Titanic dataset. The goal was Exploratory Data Analysis (EDA)—basically interviewing the data to see what stories it holds before trying to build any models. I fired up a Google Colab notebook and used Python libraries like Pandas and Seaborn to dig in. The first major finding? Real-world data is messy. A heatmap visualization instantly revealed huge gaps of missing data in the ‘Age’ and ‘Cabin’ column

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