Ford Motor Company’s Post

I'm Excited to share my Task second internship project:Car price prediction in collaboration with InternPe! Objective: Develop a modal to predict the prices of used cars on various features using machine learning. Techniques Used: •Data preprocessing: Cleaning and preparing the data for modeling. •Feature engineering: Creating new features from existing data to improve model performance. •Model selection: Choosing the most appropriate machine learning model for the task. •Model evaluation: Assessing the model's accuracy and effectiveness. •Model training using Linear Regression. Outcome: Achieved high accuracy in predicting car prices, providing valuable insights for both sellers and buyers in the automotive market. Check out the video to view my project. #MachineLearning #DataScience #CarPricePrediction #Internship #INTERNPY #AI #DataAnalysis #Projectshowcase

I’m thrilled to share a highlight from my recent internship: developing a machine-learning model for predicting car prices. This project allowed me to dive deep into AIML, enhancing my skills in model training, data analysis, and predictive analytics. This project not only honed my technical skills but also gave me insights into the practical applications of predictive analytics in the automotive industry. I’m eager to continue exploring the potential of AI and machine learning in solving real-world problems.🚗 Thank you InternPe for this opportunity! #Internship #MachineLearning #CarPredictor #Internpe #AI

internship done at Verzeo company on Machine learning

🚗Exciting Update from My Internship at InternPe ! 🚗 As part of my ongoing journey at InternPe , I've been diving into a fascinating project on Car Price Prediction. 🏎️📈 For this task, I'm leveraging advanced machine learning techniques to predict car prices with high accuracy. Using a combination of regression algorithms and feature engineering, my goal is to create a model that can help buyers and sellers make more informed decisions in the automotive market. 🔍Key aspects of the project include: Data Exploration: Analyzing and cleaning data from various sources. Feature Selection: Identifying key features that influence car prices. Model Building: Implementing and fine-tuning regression models for optimal performance. Evaluation: Assessing the model's accuracy and reliability through metrics like RMSE and R². This project not only enhances my technical skills but also provides valuable insights into the dynamics of the car market. I'm excited to see how the model performs and the impact it can have on real-world pricing decisions. #MachineLearning #DataScience #CarPricePrediction #Internship #AI #ML #DataAnalytics #InternPe

Excited to share my ML internship project: Car Price Predictor! 🤖 During my internship, I developed a machine learning model to predict car prices based on various features. Highlights: 1️⃣ Data Collection & Preprocessing: Gathered and cleaned a dataset of car features and prices. 2️⃣ Model Development: Built and fine-tuned ML models using regression algorithms. 3️⃣ Model Deployment: Created a web app for real-time price predictions. 4️⃣ Evaluation & Testing: Ensured accuracy through rigorous testing. Excited about the impact of this project in the automotive industry! 🌟 #MachineLearning #DataScience #InternshipProject #CarPricePrediction #MLModel #LinkedInProjects 🚀📊 InternPe

Thrilled to announce my summer internship in Machine Learning! 🌟 I'll be innovating, collaborating, and growing in this dynamic field, working on cutting-edge models and real-world applications. Excited for a summer of discovery and professional growth! 🚀 #MachineLearning #Internship #Tech #AI

Excited to share my ML internship project: Car Price Predictor! 🚗 During my internship, I developed a machine learning model to predict car prices based on various features. Highlights: 1️⃣ Data Collection & Preprocessing: Gathered and cleaned a dataset of car features and prices. 2️⃣ Model Development: Built and fine-tuned ML models using regression algorithms. 3️⃣ Model Deployment: Created a web app for real-time price predictions. 4️⃣ Evaluation & Testing: Ensured accuracy through rigorous testing. Excited about the impact of this project in the automotive industry! 🌟 #MachineLearning #DataScience #InternshipProject #CarPricePrediction #MLModel #LinkedInProjects 🚀📊 InternPe

Successfully completed the 4-Week Virtual Internship Program in AI Engineering.

I'm Excited to share my Task second internship project:Car price prediction in collaboration with InternPe! 💡Objective: Develop a modal to predict the prices of used cars on various features using machine learning. 🛠️Techniques Used: •Data preprocessing: Cleaning and preparing the data for modeling. •Feature engineering: Creating new features from existing data to improve model performance. •Model selection: Choosing the most appropriate machine learning model for the task. •Model evaluation: Assessing the model's accuracy and effectiveness. •Model training using Linear Regression. 📈Outcome: Achieved high accuracy in predicting car prices, providing valuable insights for both sellers and buyers in the automotive market. Check out the video to view my project. #MachineLearning #DataScience #CarPricePrediction #Internship #INTERNPE #AI #DataAnalysis #ProjectShowcase

🚗🔍 Task 2 Completion: Car Price Prediction Using Machine Learning 🔍🚗 I'm thrilled to announce that I’ve successfully completed Task 2 of my internship with Internpe! This project involved creating a machine learning model to predict car prices based on a variety of features. I had the opportunity to dive deep into data analysis, feature engineering, and model development to deliver accurate and insightful predictions. This experience has been incredibly rewarding, enhancing my skills in machine learning and providing valuable hands-on experience with real-world data. A big thank you to Internpe for this fantastic opportunity to apply my knowledge and grow professionally. Looking forward to leveraging these skills in future projects! #MachineLearning #DataScience #Internship #CarPricePrediction #AI #ML #internpe