I will do classification analysis with python using supervised machine learning

I hold certification as a data scientist, boasting over 2 years of hands-on experience specializing in supervised machine learning, particularly in classification analysis. My track record includes the successful completion of numerous classification projects, showcasing proficiency in handling diverse tabular data for classification analysis.

My approach involves comprehensive data preprocessing, encompassing tasks such as cleaning, addressing missing values, and executing feature engineering. Subsequently, I determine the most suitable machine learning classification model tailored to the specific dataset. To gauge model performance, I leverage appropriate accuracy metrics and meticulously compare results to identify the top-performing model.

For this task, I will be utilizing the following tools:

• Python
• Pandas
• Numpy
• Sci-kit learn
• SciPy
• Vscode
• Google Colab
• Jupyter notebook
• Logistic Regression
• Decision Tree
• Random Forrest
• Gradient Boosting
• Naive Bayes Gaussian
• Stacking Classifier
• Voting Classifier
• K-NN Classifier
• Scaled k-NN Classifier
• Hist-Gradient Boosting
• Adaboost
• Xgboost
• Support Vector Machines (SVM)
• Cross validation
• GridSearchCV

Let's work together!