Hi There,
I have 6+ years experience in IT in data science, python and machine learning concepts.
Pandas, Numpy libraries - Data Analytics and data manipulation activities.
Matplotlib, Seaborn, Plotly - Data Visualization.
Scikit-Learn - Supervised, Unsupervised models in Data Science.
Have good knowledge in Feature Selection, Feature Engineering, Label Encoding, Outliers Treatment, Tuning Hyperparameters concepts.
Models - Linear Regression, Logistic Regression, Decision Tree, Random Forest, Naive Bayes, SVM, KMeans Clusterng, PCA, DBScan, KNN etc.
While teaching, I will give questions/live examples to practice after each session. I have done many projects, so i can give real time examples.
I can help in completing the assignments.
Regards,
Tejaswini