sqlan DataCamp

DataCamp

Certificate

DataCamp statement of accomplishment awarded to Muhammad Saqlain for Machine Learning Scientist in Python, 85 hours, completed November 22, 2024

Courses

50 learning items

  1. Supervised Learning with scikit-learn Course 4 hr
  2. Predictive Modeling for Agriculture Project 2 hr
  3. Unsupervised Learning in Python Course 4 hr
  4. Clustering Antarctic Penguin Species Project 2 hr
  5. Linear Classifiers in Python Course 4 hr
  6. Machine Learning with Tree-Based Models in Python Course 5 hr
  7. Predicting Movie Rental Durations Project 2 hr
  8. Extreme Gradient Boosting with XGBoost Course 4 hr
  9. Cluster Analysis in Python Course 4 hr
  10. Dimensionality Reduction in Python Course 4 hr
  11. Preprocessing for Machine Learning in Python Course 4 hr
  12. Machine Learning for Time Series Data in Python Course 4 hr
  13. Feature Engineering for Machine Learning in Python Course 4 hr
  14. Model Validation in Python Course 4 hr
  15. Hyperparameter Tuning in Python Course 4 hr
  16. Machine Learning Fundamentals in Python Assessment —
  17. Natural Language Processing (NLP) in Python Course 4 hr
  18. Natural Language Processing with spaCy Course 4 hr
  19. Feature Engineering for NLP in Python Course 4 hr
  20. Introduction to Deep Learning with PyTorch Course 4 hr
  21. Intermediate Deep Learning with PyTorch Course 4 hr
  22. Image Processing in Python Course 4 hr
  23. Introduction to PySpark Course 4 hr
  24. Machine Learning with PySpark Course 4 hr
  25. Winning a Kaggle Competition in Python Course 4 hr
  26. Reinforcement Learning with Gymnasium in Python Course 4 hr
  27. Sampling in Python Course 4 hr
  28. Introduction to Regression with statsmodels in Python Course 4 hr
  29. Writing Functions in Python Course 4 hr
  30. Working with Dates and Times in Python Course 4 hr
  31. Cleaning Data in Python Course 4 hr
  32. Introduction to Importing Data in Python Course 3 hr
  33. Data Communication Concepts Course 3 hr
  34. Working with Categorical Data in Python Course 4 hr
  35. Exploratory Data Analysis in Python Course 4 hr
  36. Foundations of PySpark Course 4 hr
  37. AWS Concepts Course 2 hr
  38. Introduction to GitHub Concepts Course 2 hr
  39. Object-Oriented Programming in Python Course 4 hr
  40. Intermediate Data Visualization with Seaborn Course 4 hr
  41. Python Toolbox Course 4 hr
  42. Introduction to Data Visualization with Seaborn Course 4 hr
  43. Introduction to Functions in Python Course 3 hr
  44. Introduction to Data Visualization with Matplotlib Course 4 hr
  45. Introduction to Data Science in Python Course 4 hr
  46. Intermediate Python Course 4 hr
  47. Introduction to Python Course 4 hr
  48. Introduction to Statistics in Python Course 4 hr
  49. Joining Data with pandas Course 4 hr
  50. Data Manipulation with pandas Course 4 hr