Dr.Purushottam Petare’s Post

https://lnkd.in/d-fedgGX My Google scholar citations =529, h-index =8 and i10 index = 7

Another project completed successfully! EDA, Data Preprocessing, Customer Profiling, Bagging and Boosting Classifiers (Bagging and Random Forest and AdaBoost), Gradient Boosting, XGBoost, Stacking Classifier, Hyperparamenter Tuning using GridSearch CV and Business Insights. Examiner comments: Fablous job! The eda, model building, and tuning have been executed well. The work is well-organized and logically structured, demonstrating a strong understanding of statistics. 60/60

Hello Everyone, I would like to share a glimpse of the projects I completed with Great Learning Through these projects, I gained significant skills and knowledge in various aspects of data science. Each project involved defining clear objectives, collecting and preprocessing data, performing exploratory data analysis (EDA), and conducting feature engineering. I selected appropriate models and algorithms, trained and validated them rigorously, and iterated to improve accuracy. These experiences have enhanced my ability to handle real-world data problems, perform insightful analysis, and effectively communicate findings to stakeholders. #data #datascience #dataworld #dataanalytics #datacollection #datavisualization #datamodeling #datapreparation #dataexploration #EDA #exploratorydataanalysis #machinelearning #artificialintelligence

Exploratory Data Analysis, Sanity Checks, Missing Value Treatment, Imputation, Outlier Detection, Model Building - Linear Regression, Model Performance Checks, Checking Linear Regression Assumptions (Multicolliearity, Linearity of Variables, Independence, Normality and Heteroscedasticity.) Testing the model on test data, Drawing conclusions and insights.

Power of thought into Data analysis...

Exploratory Data Analysis, Data Preprocessing, Logistic Regression, Multicollinearity, AUC-ROC Curve, Decision Tree, Pre-Pruning and Post-Pruning

Data science enthusiast with a passion for using data to solve real-world problems. Proven ability to apply machine learning, statistical analysis, and data visualization techniques to extract valuable insights  Check out my e-portfolio link for a glimpse into the impactful projects I've worked on. Your insights and feedback are highly valued. #DataScience #Analytics #MachineLearning #ArtificialIntelligence

📢 Thrilled to share my ePortfolio from the MIT IDSS Data Science & Machine Learning program! This showcases my projects and learning in the exciting world of data science. #MIT #datascience #machinelearning #eportfolio #PowerAhead

# Data Exploration # Data Visualization

Just completed my project on supervised machine learning- classification using decision trees algorithm