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machine_learning_with_python_jadi's Introduction

machine_learning_with_python_jadi

Course on Maktabkhoone: https://maktabkhooneh.org/course/%DB%8C%D8%A7%D8%AF%DA%AF%DB%8C%D8%B1%DB%8C-%D9%85%D8%A7%D8%B4%DB%8C%D9%86-%D9%BE%D8%A7%DB%8C%D8%AA%D9%88%D9%86-mk1318/

My blog: http://jadi.net/2021/10/machine-learning-with-python-jadi/

Slides: https://docs.google.com/presentation/d/1GzB4JPRrl7OzPo3Yp6pywZeaj03gSUyxMFfmTHt6nzE/edit?usp=sharing

Note: github does not accept files larger than 100MB. So I truncated the ratings.csv to only 3.9M rows. For the original file, please use the link in the notebook to download the dataset.

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fatemeh-ameri avatar jadijadi avatar

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machine_learning_with_python_jadi's Issues

AiMa

This is one off the ....
16543376493495446993948655279954

warning in given parameters for predict

in ML0101EN-Reg-Simple-Linear-Regression-Co2

y_hat= regr.predict(test[['ENGINESIZE','CYLINDERS','FUELCONSUMPTION_COMB']])
x = np.asanyarray(test[['ENGINESIZE','CYLINDERS','FUELCONSUMPTION_COMB']])
y = np.asanyarray(test[['CO2EMISSIONS']])

it causes the bottom warning:
/usr/local/lib/python3.8/dist-packages/sklearn/base.py:443: UserWarning: X has feature names, but LinearRegression was fitted without feature names
warnings.warn( ...

replace with
x = np.asanyarray(test[['ENGINESIZE','CYLINDERS','FUELCONSUMPTION_COMB']])
y = np.asanyarray(test[['CO2EMISSIONS']])
y_hat= regr.predict(x)

سوالی داشتم درباره ...

سلام
من ۲۱ سالمه و برنامه نویسی پایتون(ML)و دیتا ساینس کار میکنم ,پایتون سه سال پیش شروع کردم و اومدم دانشگاه بین یادگیریم وقفه افتاد و الان چند ماهی هست دوباره شروع کردم ، غیر از پایتون با زبان c ,c++هم کار کردم ، میخواستم بدونم از کجا شروع کنیم به زدن درآمد یعنی به چه حدی از تسلط برسیم میتونیم درامد داشته باشیم ،آیا برای داشتن درامد معقول باید تیم داشته باشیم یا منفرد هم میشه کار کرد؟، چیز دیگه هم که مطرحه یکی مثل من که تازه وارده چطوراعتماد مشتری به خودش کسب کنه؟؟؟ و آیا بستر خوب و قابل اعتمادی میشناسین که از اونجا پروژه بردارم؟؟
مرسی که خوندین..

Adding Tutorials on Combining Reinforcement Learning and Machine Learning

Description:
We want you to add a series of tutorials on combining reinforcement learning and other machine-learning concepts to your library. These tutorials help people interested in learning both areas to understand the basic concepts and techniques.

Proposed Content:

  1. An overview of Reinforcement Learning and its applications
    
  2. Introduction to Machine Learning and Deep Learning Concepts
    
  3. Tutorials on implementing Reinforcement Learning algorithms
    
  4. Tutorials on using Machine Learning in Reinforcement Learning
    
  5. Practical content and projects for hands-on experience
    

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