250+ Exercises - Data Science Bootcamp In Python - 2022

Improve your Python programming skills and solve over 250 data science exercises!

What you'll learn
solve over 250 exercises in data science in Python
deal with real programming problems
deal with real problems in data science
work with libraries numpy, pandas, seaborn, plotly, scikit-learn, opencv, tensorflow
work with documentation
guaranteed instructor support
Requirements
completion of all courses in the Python Developer learning path
completion of all courses in the Data Scientist learning path
I have courses which can assist in obtaining all the necessary skills for this course
Description
Welcome to the 250+ Exercises - Data Science Bootcamp in Python course where you can test your Python programming and data science skills. The course consists of 250 exercises (exercises + solutions) in data science with Python. Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages. Python is a programming language that lets you work quickly and integrate systems more effectively. Packages that you will use in the exercises:numpypandasseabornplotlyscikit-learnopencvtensorflowSome topics you will find in the exercises:working with numpy arraysworking with matricesrandom numbersnormal distributionimage as a numpy arrayworking with polynomialsworking with datesdealing with missing valuesworking with pandas Series and DataFramesreading/writing filesworking with stock market datacreating visualizations using seaborn and plotlypreparing data to the machine learning modelsfeature extractionsplitting data into train and test setssolving systems of equationsbuilding regression and classification modelsworking with neural networks - TensorFlow and Kerasworking with computer vision - OpenCVThis is a great test for people who are learning the Python language and are looking for new challenges. The course is designed for people who already have basic knowledge in Python and knowledge about data science libraries. Exercises are also a good test before the interview. Many popular topics were covered in this course. Don't hesitate and take the challenge today!Stack Overflow Developer SurveyAccording to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Overview

Section 1: Configuration (optional)

Lecture 1 Info

Lecture 2 Requirements

Lecture 3 Google Colab + Google Drive

Lecture 4 Google Colab + GitHub

Lecture 5 Google Colab - Intro

Lecture 6 Anaconda installation - Windows 10

Lecture 7 Introduction to Spyder

Lecture 8 Anaconda installation - Linux

Section 2: Tips

Lecture 9 A few words from the author

Lecture 10 Tip

Section 3: ––-NUMPY––-

Lecture 11 Intro

Section 4: 001-010 Exercises

Lecture 12 Exercises

Lecture 13 Exercises + Solutions

Section 5: 011-020 Exercises

Lecture 14 Exercises

Lecture 15 Exercises + Solutions

Section 6: 021-030 Exercises

Lecture 16 Exercises

Lecture 17 Exercises + Solutions

Section 7: 031-040 Exercises

Lecture 18 Exercises

Lecture 19 Exercises + Solutions

Section 8: 041-050 Exercises

Lecture 20 Exercises

Lecture 21 Exercises + Solutions

Section 9: 051-060 Exercises

Lecture 22 Exercises

Lecture 23 Exercises + Solutions

Section 10: 061-070 Exercises

Lecture 24 Exercises

Lecture 25 Exercises + Solutions

Section 11: 071-080 Exercises

Lecture 26 Exercises

Lecture 27 Exercises + Solutions

Section 12: 081-090 Exercises

Lecture 28 Exercises

Lecture 29 Exercises + Solutions

Section 13: 091-100 Exercises

Lecture 30 Exercises

Lecture 31 Exercises + Solutions

Section 14: ––-PANDAS––-

Lecture 32 Intro

Section 15: 101-110 Exercises

Lecture 33 Exercises

Lecture 34 Exercises + Solutions

Section 16: 111-120 Exercises

Lecture 35 Exercises

Lecture 36 Exercises + Solutions

Section 17: 121-130 Exercises

Lecture 37 Exercises

Lecture 38 Exercises + Solutions

Section 18: 131-140 Exercises

Lecture 39 Exercises

Lecture 40 Exercises + Solutions

Section 19: 141-150 Exercises

Lecture 41 Exercises

Lecture 42 Exercises + Solutions

Section 20: 151-160 Exercises

Lecture 43 Exercises

Lecture 44 Exercises + Solutions

Section 21: 161-170 Exercises

Lecture 45 Exercises

Lecture 46 Exercises + Solutions

Section 22: 171-180 Exercises

Lecture 47 Exercises

Lecture 48 Exercises + Solutions

Section 23: 181-190 Exercises

Lecture 49 Exercises

Lecture 50 Exercises + Solutions

Section 24: 191-200 Exercises

Lecture 51 Exercises

Lecture 52 Exercises + Solutions

Section 25: ––-SUMMARY––-

Lecture 53 Intro

Section 26: 201-210 Exercises

Lecture 54 Exercises

Lecture 55 Exercises + Solutions

Section 27: 211-220 Exercises

Lecture 56 Exercises

Lecture 57 Exercises + Solutions

Section 28: 221-230 Exercises

Lecture 58 Exercises

Lecture 59 Exercises + Solutions

Section 29: 231-240 Exercises

Lecture 60 Exercises

Lecture 61 Exercises + Solutions

Section 30: 241-250 Exercises

Lecture 62 Exercises

Lecture 63 Exercises + Solutions

Section 31: Bonus

Lecture 64 Bonus

everyone who wants to learn by doing,everyone who wants to improve programming skills in Python,people who are preparing for interview,people interested in data science,data scientists,data analytics,machine learning engineers