Data Science and Machine learning, available an...

Data Science and Machine learning, available anywhere at lower cost?

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Deal Cadet
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Please suggest some good website which is providing course of Data science and machine learning.

I need to switch my job very badly. So need a good source to study.

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Critic
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Try these:
coursera dot org
edx dot org
microsoft online programs
skillup dot online

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Deal Cadet
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Have you tried any of these?
which one is better from your experience?

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Tera_Jija wrote:

Have you tried any of these?
which one is better from your experience?

They all are very good. You can enroll in the free courses and see for yourself.
Coursera is from IBM I think.
These courses are prepared by industry leaders and not some cheap training institute around the corner. So they take care of the practical and implementation aspect.
My previous organization asked me to ramp up my skill on data science from these websites. I had enrolled at Coursera, Edx and Microsoft myself and was pursuing the course. Before I could complete, I left the organization so there was no point in completing it

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Deal Captain
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Might not be the most reputed out there but these are few of the most extensive courses in terms of content and support.

Check out iNeuron in Bangalore, they conduct online batches with live sessions. Another good one is appliedAIcourse which has pre-recorded content but provide doubts clearing as well.

Python and R are the most preferred languages for DataScience just because they have loads of packages that can be directly used to build models. Yes, you can rely on any other programming language too but then you would not find many packages relevant to data science, you will end up building the algorithms/models from scratch. I suggest picking a course that starts with Python and ends with model deployment.

Here is a basic path
1. Python
2. Pandas and Numpy
3. Database basics – CRUD operations would do for SQL and MongoDB
3. Visualisation packages – matplotlib, plotly, cufflinks, seaborn
4. Statistics
5. ML algorithms
6. Keras, pytorch, tensorflow 1.6 and 2.x
7. Deep learning algorithms
8. Deploying models to various cloud platforms such as AWS, Azure, Heroku etc.

These are kind of must topics to be covered for ML and DL together. So check which course provides all these.

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Deal Cadet
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raghupro wrote:

Might not be the most reputed out there but these are few of the most extensive courses in terms of content and support.

Check out iNeuron in Bangalore, they conduct online batches with live sessions. Another good one is appliedAIcourse which has pre-recorded content but provide doubts clearing as well.

Python and R are the most preferred languages for DataScience just because they have loads of packages that can be directly used to build models. Yes, you can rely on any other programming language too but then you would not find many packages relevant to data science, you will end up building the algorithms/models from scratch. I suggest picking a course that starts with Python and ends with model deployment.

Here is a basic path
1. Python
2. Pandas and Numpy
3. Database basics – CRUD operations would do for SQL and MongoDB
3. Visualisation packages – matplotlib, plotly, cufflinks, seaborn
4. Statistics
5. ML algorithms
6. Keras, pytorch, tensorflow 1.6 and 2.x
7. Deep learning algorithms
8. Deploying models to various cloud platforms such as AWS, Azure, Heroku etc.

These are kind of must topics to be covered for ML and DL together. So check which course provides all these.

are they free?

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Deal Cadet
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raghupro wrote:

Might not be the most reputed out there but these are few of the most extensive courses in terms of content and support.

Check out iNeuron in Bangalore, they conduct online batches with live sessions. Another good one is appliedAIcourse which has pre-recorded content but provide doubts clearing as well.

Python and R are the most preferred languages for DataScience just because they have loads of packages that can be directly used to build models. Yes, you can rely on any other programming language too but then you would not find many packages relevant to data science, you will end up building the algorithms/models from scratch. I suggest picking a course that starts with Python and ends with model deployment.

Here is a basic path
1. Python
2. Pandas and Numpy
3. Database basics – CRUD operations would do for SQL and MongoDB
3. Visualisation packages – matplotlib, plotly, cufflinks, seaborn
4. Statistics
5. ML algorithms
6. Keras, pytorch, tensorflow 1.6 and 2.x
7. Deep learning algorithms
8. Deploying models to various cloud platforms such as AWS, Azure, Heroku etc.

These are kind of must topics to be covered for ML and DL together. So check which course provides all these.

Thanks a lot bro for detailed guidance.

Just one more thing, do you know any source other then kaggle where good practice can be done on problems?

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Deal Captain
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Tera_Jija wrote:

Thanks a lot bro for detailed guidance.

Just one more thing, do you know any source other then kaggle where good practice can be done on problems?

You mean datasets? I have a list in my laptop, shall share in a while.

My suggestion is to work on built in data sets available in seaborn. You will miss the detailed feature engineering part working on built in data sets but a good way to start.

If it’s problems you are looking for kaggle is the best anyways. Other options are analytics Vidya and sorts.

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Deal Newbie
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Any specific courses you recommend for ml?

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Deal Newbie
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raghupro wrote:

Might not be the most reputed out there but these are few of the most extensive courses in terms of content and support.

Check out iNeuron in Bangalore, they conduct online batches with live sessions. Another good one is appliedAIcourse which has pre-recorded content but provide doubts clearing as well.

Python and R are the most preferred languages for DataScience just because they have loads of packages that can be directly used to build models. Yes, you can rely on any other programming language too but then you would not find many packages relevant to data science, you will end up building the algorithms/models from scratch. I suggest picking a course that starts with Python and ends with model deployment.

Here is a basic path
1. Python
2. Pandas and Numpy
3. Database basics – CRUD operations would do for SQL and MongoDB
3. Visualisation packages – matplotlib, plotly, cufflinks, seaborn
4. Statistics
5. ML algorithms
6. Keras, pytorch, tensorflow 1.6 and 2.x
7. Deep learning algorithms
8. Deploying models to various cloud platforms such as AWS, Azure, Heroku etc.

These are kind of must topics to be covered for ML and DL together. So check which course provides all these.

Thanks for providing valuable information would help more if you would recommend some courses links.I am also planning to start to learn machine learning.

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coderguy wrote:

Thanks for providing valuable information would help more if you would recommend some courses links.I am also planning to start to learn machine learning.

Please DM me your email ID. Shall forward details of a course I am currently enrolled with.

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Deal Cadet
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raghupro wrote:

Please DM me your email ID. Shall forward details of a course I am currently enrolled with.

I just enrolled in free course of pocktpub. It is basically a book with some excercises and tutorials. It seems good. Rest i think you can work on keggle as suggested by @raghupro

https://www.desidime.com/forums/freebies-all-fr...

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