Priyanka Gelle’s Post

I successfully completed TASK 2 of my Data Science Internship at #CodSoft, where I constructed a model that predicts movie ratings using features such as genre, director, and actors. The objective was to analyze past movie data and create a model that precisely predicts the rating assigned to a movie by users or critics. I delved into data analysis, preprocessing, feature engineering, and machine learning modeling methods. This project sheds light on the factors affecting movie ratings and enables the creation of a model capable of accurately estimating movie ratings.

2nd task at encryptix - movie rating prediction 🎬 Predicting Movie Ratings with Advanced Encoding Techniques at Encryptix 🎬 Excited to share a key achievement from my internship at Encryptix! I worked on predicting movie ratings using one-hot encoding and target encoding for genres, along with frequency encoding for actors and directors. This involved transforming categorical data into meaningful numerical features, optimizing the predictive power of our models. This project deepened my understanding of feature engineering and its impact on model accuracy, furthering my passion for data science and machine learning. A big thank you to the Encryptix team for their continuous guidance and support. Looking forward to applying these techniques in future data-driven projects! #DataScience #MachineLearning #FeatureEngineering #Encryptix #ProfessionalDevelopment

Hello Everyone, I'm so excited to announce that I have done my #2 task at #codsoft : 🌸 In this project, I have developed a Iris Flower Classification model. 🌸 The dataset consists of 50 samples from each of three species of Iris (Iris Setosa, Iris virginica, and Iris versicolor), in the field of machine learning. 🌸 Four features were measured from each sample: the length and the width of the sepals and petals in centimeters. 🌸 TOPIC : IRIS FLOWER CLASSIFICATION 🌸 MODELS : K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree. 🌸 1. Data Preprocessing 2. Data Encoding 3. Model Creation 4. Prediction #internship#datascience

I'm thrilled to share that I’ve successfully completed my first task as a Data Science intern at Encryptix! 🎉 For this task, I built a predictive model to determine the survival of passengers on the Titanic 🛳️. This project was an incredible learning experience that deepened my understanding of various concepts in Data Science, including: 🔍 Data Cleaning: Ensuring the dataset was free of errors and ready for analysis. 📊 Data Visualization: Using visual tools to uncover patterns and insights. 🧠 Model Building: Implementing and fine-tuning machine learning models to make accurate predictions. 📈 Evaluation: Assessing the model’s performance and making necessary improvements. A big thank you to the Encryptix team for their guidance and support! 🙏 I'm looking forward to tackling more challenges and further honing my skills in the fascinating world of Data Science. #DataScience #MachineLearning #Internship #TitanicDataset #PredictiveModeling #DataCleaning #DataVisualization #LearningJourney #Encryptix #CareerGrowth

Machine Learning Intern | Varcons Technologies As a Machine Learning intern at Varcon Technologies, I had the opportunity to work on cutting-edge projects and develop my skills in Python-based machine learning. My role primarily focused on a research-based project aimed at predicting the risks of chronic diseases using advance

I am so excited to share that I've successfully completed one more task during my internship at AIMER Society I developed a cat detection model using YOLOv8 object detection framework #AIMERS #APSCHE #DATA SCIENCE #OPENCV #YOLO #OBJECT DETECTION #COMPUTER VISION

3rd Task Completed!!🌟 I'm thrilled to share that I've successfully completed Task 4 of the Machine Learning Internship with Encryptix! This task involved creating an Al model that can classify SMS messages as spam or legitimate. Use techniques like TF-IDF or word embeddings with classifiers like Naive Bayes, Logistic Regression, or Support Vector Machines to identify spam messages. #Encryptix

Exciting update from my internship at Encryptix! I have successfully completed Task 1 of exploring the Titanic dataset. I utilized the Random Forest supervised learning model to predict survival outcomes, incorporating advanced techniques to address data preprocessing challenges. The model achieved high accuracy, showcasing the effectiveness of our approach. 🙌 Gratitude to Encryptix for the invaluable learning journey and mentorship. Thrilled to contribute to impactful projects in data science! Check out the full project on my GitHub: https://lnkd.in/duwpUcHu #DataScience #TitanicDataset #Encryptix. Encryptix

I’m excited to share my recent project on Customer Churn Prediction, developed during my internship at Encryptix. This project uses advanced machine learning techniques to analyze customer behavior and predict churn, helping businesses retain valuable customers. The model involves comprehensive data preprocessing, feature engineering, and the application of various algorithms to achieve accurate predictions. By identifying key factors influencing churn, this project offers actionable insights for enhancing customer retention strategies. I’m thrilled to have contributed to this impactful project and look forward to applying these skills in future endeavors! Github: https://lnkd.in/gdDfF6Ta #MachineLearning #Project #Encryptix #Jupyter #Algorithms

🌟 Excited to share that I've completed my first task in the Encryptix Machine Learning internship! 🌟 For this task, I worked on Movie Genre Classification, where the objective was to classify movies into genres such as comedy, action, sci-fi, etc. I employed three different feature extraction techniques: CountVectorizer, TfidfVectorizer, and GloVe embeddings. Additionally, I used three different models: Logistic Regression, Random Forest, and Support Vector Machine. After thorough testing, I achieved the best accuracy of 0.586 with the Support Vector Machine model using GloVe embeddings. 🎉 Check out the video of the notebook below! 📽️ #MachineLearning #DataScience #ArtificialIntelligence #MovieClassification #Encryptix ---