Vikram Dewangan’s Post

TASK 2- Perform data cleaning and exploratory data analysis (EDA) on a dataset of your choice, such as the Titanic dataset from Kaggle. Explore the relationships between variables and identify patterns and trends in the data. SkillCraft Technology hashtag #SkillCraftSkillCraft Technology hashtag #DataScience

🌟 Data Science Reality Check! 🌟 Ever come across a model boasting 99% accuracy? 🤔 While it sounds impressive, it’s essential to dig deeper! 📉 If 99% of the data belongs to just one class, that accuracy might be a mirage. It’s crucial to evaluate the whole picture, precision, recall, and the distribution of classes to ensure your model truly performs well! Let’s prioritize understanding our data and its implications over just chasing numbers. 📊💡 #DataScience #MachineLearning #ModelEvaluation #AccuracyVsReality #DataImbalance

📊 Understanding Linear Regression Linear regression models the relationship between a dependent variable and one or more independent variables by fitting a linear equation to observed data. It's a fundamental technique in data analysis, helping to predict outcomes and understand correlations. Ideal for exploring trends and making data-driven decisions. #DataScience #MachineLearning #LinearRegression #Analytics #datascience

TASK 2- Perform data cleaning and exploratory data analysis (EDA) on a dataset of your choice, such as the Titanic dataset from Kaggle. Explore the relationships between variables and identify patterns and trends in the data. SkillCraft Technology hashtag #SkillCraftSkillCraft Technology #DataScience

Achieving an RMSE of 6.04 in predicting points per game feels like a moderate win, but there’s always room for improvement. Exploring different variables and methods could enhance accuracy—one of the great things about data science is continuous improvement! #PredictiveAccuracy #DataScienceJourney #ModelImprovement #ContinuousLearning

TASK 2:- Perform data cleaning and exploratory data analysis (EDA) on a dataset of your choice, such as the Titanic dataset from Kaggle. Explore the relationships between variables and identify patterns and trends in the data. SkillCraft Technology hashtag #SkillCraftSkillCraft Technology #DataScience

🔍 Beyond Linear Regression: A Data Science Competition Insight During a recent data science competition, I encountered an intriguing challenge: features showing inverse relationships with heavy right skewness. This scenario made traditional linear regression models inadequate. Key Learnings: Not all data fits the linear model assumption Right-skewed data with inverse relationships needs specialized approaches Enter Tweedie regression with Gamma family - a powerful alternative! Why Tweedie regression? Perfect for positive, continuous data Handles right-skewed distributions naturally No assumption of normal distribution needed 💡 Takeaway: When your data shows non-linear patterns and right skewness, consider Tweedie regression as an effective alternative to traditional linear models. #DataScience #MachineLearning #Regression #Analytics

Data is the new oil - Clive Humby True to his words, the excitement of breaking down the data into smaller parts to capture as many insights as possible (referred to as EDA - Exploratory Data Analysis) and building solutions to modern day challenges (Using Data Science Techniques) is an amazing feeling. I'm happy to share that I have been certified on the completion of a Capstone project on "Predicting if a bank's clients will subscribe to Term Deposit during its marketing campaign" using Machine Learning algorithms. Check out the code here: https://lnkd.in/eyGDPhcr #MachineLearning #MLProjects #CapstoneProject #DataScience #MarketingCampaignAnalytics

📚 Let's talk about bagging and boosting in data science! 🚀 Bagging and boosting are powerful ensemble learning techniques that enhance model performance by combining multiple base models. 🔄 Whether it's reducing overfitting with bagging or improving predictive accuracy with boosting, these methods are indispensable in the quest for better models. 💯 #Bagging #Boosting #EnsembleLearning #DataScience #MachineLearning #Modeling #Performance #TechSkills #DataAnalysis 🌟