Milan Roat’s Post

🚀 Excited to share that I have successfully completed my 3rd task during my Data Science internship at Encryptix ! I developed a model to estimate user ratings for movies. This Movie Rating Prediction project involved comprehensive data analysis, preprocessing, feature engineering, and applying machine learning modeling techniques. I explored various algorithms, fine-tuned hyperparameters, and validated the model to ensure high accuracy. Through this project, I gained valuable insights into handling large datasets, improving model performance, and effectively communicating findings to stakeholders. #DataScience #MachineLearning #DataAnalysis #FeatureEngineering #Encryptix

🚀 Excited to share that I have successfully completed my first task during my Data Science internship at Encryptix! I developed a model to estimate user ratings for movies. This Movie Rating Prediction project involved comprehensive data analysis, preprocessing, feature engineering, and applying machine learning modeling techniques. I explored various algorithms, fine-tuned hyperparameters, and validated the model to ensure high accuracy. Through this project, I gained valuable insights into handling large datasets, improving model performance, and effectively communicating findings to stakeholders. #DataScience #MachineLearning #DataAnalysis #FeatureEngineering #Encryptix

🌟 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 ---

video explanation of Encryptix task 1 - titanic survival prediction #encryptix : 🚢 Successfully Predicted Titanic Survival Outcomes at Encryptix! 🚢 I’m thrilled to share a key accomplishment from my recent internship at Encryptix. I developed predictive models to determine Titanic survival outcomes using decision tree and random forest classifiers. This involved data cleaning, feature engineering, and applying advanced classification techniques to enhance model performance. This project not only honed my skills in machine learning and data preprocessing but also provided valuable insights into the practical applications of predictive analytics. A big thank you to the Encryptix team for their support and mentorship throughout this journey. Looking forward to leveraging these skills in future projects! #DataScience #MachineLearning #PredictiveAnalytics #Encryptix #ProfessionalGrowth

🚢 Titanic Survival Prediction Model 🚢 I am thrilled to share a project I worked on during my Data Science internship at Encryptix. This classic beginner project involved using the Titanic dataset to build a predictive model that determines whether a passenger on the Titanic survived or not. 🔍 Project Overview: -Dataset: The Titanic dataset, which includes details about passengers such as age, gender, ticket class, fare, cabin, and survival status. -Objective: To develop a machine learning model that accurately predicts the survival of passengers based on the provided features. 💡 Key Learnings: -Data preprocessing and feature engineering to handle missing values and categorical data. -Implementation and evaluation of various machine learning algorithms. -Model optimization to improve prediction accuracy. This project provided valuable hands-on experience with data analysis, machine learning, and model evaluation. I am excited to continue applying these skills to solve real-world problems. 📹 Check out the video for a detailed walkthrough of the project and my approach to building the survival prediction model. #DataScience #MachineLearning #TitanicDataset #PredictiveModeling #Internship #Encryptix

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

During my internship at Encryptix, I embarked on an exciting project(Task1) : Titanic survival prediction. This project involved creating a Data science,Using the famous Titanic dataset, I aimed to predict the likelihood of passenger survival based on various features such as age, gender, passenger class, and more. #intership#iDatascience #project #keeplearning #NewOpportunities #Grateful #keepcoding#encryptix

🌟 Excited to share my enriching summer internship experience at Encryptix! 🚀 During my tenure, I had the opportunity to work on three fascinating projects: 🚢 Titanic Dataset: Delved into exploratory data analysis (EDA) and honed my skills in classification models to predict survival probabilities. 🎬 Movie Rating Prediction: Applied regression techniques to predict movie ratings, focusing on improving model precision and accuracy. 💼 Sales Price Prediction: Developed predictive models for sales prices, mastering regression analysis and data preprocessing techniques. 🔍 Additionally, I learned to integrate machine learning pickle files seamlessly with web applications using Flask, enhancing my skills in deploying ML solutions. 📊 Each project challenged me to think critically and creatively, and I'm thrilled to showcase my growth. Check out a demo of my project below in the video , highlighting my journey in data science and machine learning. 📈 #DataScience #MachineLearning #InternshipExperience #Encryptix #FlaskIntegration #MLModels #DataDrivenDecisions #WebDev

Hey! LinkedIn community. I had a great opportunity to work on EDA project using AMCAT dataset during my internship Journey at Innomatics Research Labs 💥 Here's a quick overview of my project: 🔎Objective: To Explore the AMEO dataset factors influencing salary and career decisions among engineering graduates and make better decisions. 📈 Key Findings: Conducted through univariate analysis, identifying outliers and understanding frequency distributions. In bivariate analysis finding various relationships between variables through scatter plots and explore the gender-specialization relationship using stacked bar plots. 📊 Diving deep into data! My latest Exploratory Data Analysis project revealed fascinating insights into turning numbers to various visualizations and converting them into meaningful Insights. From uncovering trends to identifying key patterns. #dataanalysis #eda #datavisualization

Hello connections !!! Thrilled to share my first data science project on: 🚢 Titanic Survival Prediction Project Using ML🛳️ During my internship at Encryptix, I had the opportunity to work on a fascinating project focused on predicting Titanic passenger survival using various classification models. After rigorous experimentation, the Random Forest Classifier emerged as the top performer, showcasing the highest accuracy among all models tested. For this predictive model, I utilized a dataset sourced from Kaggle, a treasure of data science resources. By this dataset, I aimed to unravel the factors that influenced the survival rates of passengers aboard the Titanic. The objective was to analyse and predict the likelihood of survival based on various features, offering a glimpse into the past through a data-driven lens. Excited to showcase my data science journey and the insights gained from this project! #DataScience #TitanicSurvivalPrediction #EncryptixInternship  #MachineLearning #PredictiveModeling