250+ Exercises - Data Science Bootcamp In Python - 2022
Date: 9 June 2022 | Posted by: voska89
Last updated 4/2022
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 197.56 MB | Duration: 0h 37m
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
Homepage
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