Excited to share my latest project where I explored the Titanic dataset to predict passenger survival using machine learning techniques! 🚢💻 As an intern, I had the opportunity to delve into data preprocessing, feature engineering, and model building to create an accurate prediction model. Check out the screen recording to see the code in action! #MachineLearning#DataScience#InternshipProject#codsoft
Data Science | Machine Learning | Data Analysis | Python | Mysql | Pytorch | Completed 100 Days Data Science Challenge—scroll through my posts to check out my journey | Started WinterArc Data Science Challenge.
🚀 Day 43/100: Completed the Titanic survival prediction project as part of my CodSoft internship!
1. Titanic Survival Prediction Project:
- Successfully completed the implementation of the Titanic survival prediction project.
- Applied various machine learning techniques and algorithms to analyze the Titanic dataset and predict passenger survival outcomes.
- Conducted exploratory data analysis, data preprocessing, feature engineering, model training, and evaluation to build an accurate predictive model.
- Gained valuable insights into the data science workflow, including data acquisition, cleaning, modeling, and interpretation.
Completing this project marks a significant milestone in your data science journey. #CodSoft#InternshipProject#TitanicSurvivalPrediction#DataScience#MachineLearning#100DaysChallenge 🚢📊🎉
#Codsoft#Task 1
🚢 Titanic Survival Prediction with Data Science 🚢
Excited to share my latest project where I delve into the iconic Titanic dataset to build a predictive model that determines whether a passenger survived or not. This project is a perfect entry point for beginners in data science, leveraging readily available data to explore predictive modeling.
Using features like age, gender, ticket class, fare, and cabin information, I applied various data science techniques to craft a robust predictive model. By analyzing historical data from the Titanic tragedy, we gain insights into survival factors and develop a model to predict outcomes for individual passengers.
#codsoft#internship#datascience#machinelearning#predictivemodeling#titanicdataset
Excited to share my latest project where I developed a car price predictor using machine learning!
This was an incredible learning experience, and I'm thrilled to showcase my skills and the steps I took to build this model.
Check out the video to see how I cleaned the data, explored various features, trained the model, and evaluated its performance. A big shoutout to InternPe for this amazing opportunity.
#MachineLearning#DataScience#CarPricePrediction#MLProject#Internpe#CareerGrowth#TechSkills
Task 3 : Car Price Prediction with ML 📊
Advancing through my data science internship journey at Oasis Infobyte! 🚀 Explored machine learning algorithms, fine-tuning my predictive skills for car prices. 💡
#DataScienceInternship#OasisInfobyte#AnalyticalSkills
I'm glad to share my #task3 of the 𝑶𝒂𝒔𝒊𝒔 𝑰𝒏𝒇𝒐𝒃𝒚𝒕𝒆 Internship under the Data Science domain.
Task 3 : CAR PRICE PREDICTION WITH MACHINE LEARNING
#oasisinfobyte#oasisinfobyteinternship
Task 1: Titanic Survival Prediction for CodSoft Internship in Data Science
In this task, we implemented a comprehensive Titanic survival prediction model using machine learning techniques. The process involved data preprocessing, including handling missing values and converting categorical features into numerical representations. We utilized a RandomForestClassifier for the prediction and evaluated the model's performance using accuracy, classification report, and confusion matrix metrics. The analysis includes insightful visualizations such as count plots for survival, gender, passenger class, and heatmaps for confusion matrices. This project showcases a practical application of data science in predicting Titanic survival, providing a solid foundation for further exploration and analysis in the field. #codsoft#codsoftinternship#codsoftexperience 🚀🚀✨
Car Price Prediction
This is a demo for task 3 for Oasis Info Byte Data Science Internship January-2024
Dataset can be viewed at: https://lnkd.in/dSb26sPs
Complete code can be viewed at: https://lnkd.in/dsGCf-S5
The code is written in self-explanatory fashion. If you have any queries feel free to contact me.
Defining Problem
· Problem Type: Prediction using Regression
Key Features
· Well-Defined EDA
· Data Pre-processing
· Evaluation using 3 different models and comparison of performance for each model.
Learnings
· Use polynomial models instead of linear models for complex data relationships.
#oasisinfobyte#oasisinfobyteinternship#datascience
Data Science Intern at CODTECH IT SOLUTIONS | Python & Web Development Enthusiast | Salesforce Certified | B.Tech CSE Student at Narasaraopeta Engineering College
Excited to share that I successfully completed the task-2 in codtech.
Task-2 in CODTECH IT SOLUTIONS : Titanic survival prediction 🚢
📽️ Dive into the fascinating world of data science with our latest video on Titanic classification! 📊 In this insightful tutorial from Bharat Intern Internship, we unravel the secrets behind predicting passenger survival using machine learning algorithms. 🤖💡
🔍 Explore the historical Titanic dataset as we embark on a journey to understand the intricacies of feature engineering, model selection, and evaluation techniques. From preprocessing data to implementing decision trees and ensemble methods, this video offers a comprehensive overview for both beginners and seasoned data enthusiasts. 🌟
here is the link for the task [https://lnkd.in/gY5pEAzV]
#codtech#datascience#machinelearning#CODTECH#aicte
Passionate graduate in Master of Computer Science | seeking full time job opportunity in Machine learning and Data analyst | Intermediate in Data science, Machine Learning, Python and Sql
Hello everyone...!! Happy to share the first task in InternCareer of my Machine Learning internship.
This task includes the dataset of Titanic Disaster which contains passenger information from the ill-fated titanic ship. Here, I have build a predictive model that can classify whether a passenger survived or not based on the available features. I have used various Machine learning algorithms to classify the dataset and found highest accuracy among those.
This task includes,
Step 1 : Data Exploration
Step 2 : Data Preprocessing
Step 3 : Model Building
Step 4 : Model Evaluation
Step 5 : Final Accuracy
InternCareer#machinelearning#machinelearningalgorithms#classification
Studied at Graphic Era Deemed to be University |Web Development & Machine Learning Enthusiast | Experience in Full-Stack Development & Security | Passionate About AI, Blockchain & Data Science
Task Two: Thrilled to Dive into Predictive Modeling! 🚀
I'm super excited to share the results of Task Two from my internship! 💡 I worked on building predictive models using various classification algorithms like Logistic Regression, Decision Trees, Random Forests, and Support Vector Machines (SVM). From preprocessing the data to splitting it into training/testing sets, and finally evaluating the models with metrics like accuracy, precision, recall, and F1-score — it was an incredible learning experience! 🎉 Can't wait to keep growing and exploring more in the world of machine learning! #DataScience#MachineLearning#PredictiveModeling#codtechitsolutions#AICTE
Student at KCG College of Technology
4moImpressive