Essential Math for Data Science

• https://resources.oreilly.com/binderhub/essential-math-for-data-science

MachineLearning

https://www.kaggle.com/loryn808 https://www.kaggle.com/loryn808/nlp-starter-base-kernel

NLP: Link - https://www.kaggle.com/c/word2vec-nlp-tutorial#part-1-for-beginners-bag-of-words

https://github.com/anujgupta82/

ctivate the conda environment by issuing the following command:

C:> activate tensorflow (tensorflow)C:> # Your prompt should change

Execute the tensor flow python program python tf_1_simplemath.py

package installation list : https://www.upwork.com/hiring/data/15-python-libraries-data-science/ pip3 install --upgrade tensorflow pip3 install Pandas pip3 install NumPy pip3 install SciPy pip3 install IPython pip3 install matplotlib pip3 install nltk pip3 install scikit-learn pip3 install pyspark pip install textblob pip install tweepy C:\Users\mlvat>jupyter notebook

C:\Users\mlvat>python

help("modules") Please wait a moment while I gather a list of all available modules...

c:\users\mlvat\appdata\local\programs\python\python36\lib\site-packages

https://blog.sicara.com/get-started-pyspark-jupyter-guide-tutorial-ae2fe84f594f

website - https://dataskeptic.com/podcast/2017

https://www.kaggle.com/boltzmannbrain/nab

How to start pyspark and Jupytor notebook

Step# 1 : open the command line :

pip install findspark

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go to C:\Users\mlvat\Anaconda3\Scripts and run jupyter-notebook

after that execute below and work on this notebook

Step# 2 : Launch a regular Jupyter Notebook: jupyter notebook

Step# 3 : import findspark findspark.init()

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https://github.com/llSourcell --> v good https://github.com/Naresh1318

https://github.com/aymericdamien https://github.com/fdesjardins/tensorflow -> ggod http://ujjwalkarn.github.io/Machine-Learning-Tutorials/ https://github.com/aditya-AI/tensorflow_cookbook -> good

https://github.com/aditya-AI?tab=repositories

http://cs231n.github.io/python-numpy-tutorial/ https://web.stanford.edu/class/cs20si/

https://github.com/udacity/machine-learning/tree/master/projects

https://github.com/tensorflow/models

https://github.com/babaktr/ml-in-tf

https://www.tensorflow.org/tutorials/

https://github.com/jostmey/NakedTensor

https://github.com/jostmey?tab=repositories https://github.com/ischlag/distributed-tensorflow-example https://github.com/thewintersun/distributeTensorflowExample

https://github.com/hzy46/TensorFlow-Time-Series-Examples -> check

https://www.kdnuggets.com/2016/08/become-data-scientist-part-1.html

https://www.kdnuggets.com/2016/08/become-data-scientist-part-1.html https://github.com/yuemingl/TensorFlow-Tutorials

https://github.com/abulbasar/spark-scala-examples/tree/master/src/com/example https://github.com/jalammar/simpleTensorFlowClassificationExample

https://github.com/initialized/tensorflow-tutorial

https://github.com/khoink94/awesome-deep-learning https://github.com/khoink94/awesome-tensorflow https://github.com/khoink94/tensorflow-Deep-learning https://github.com/santipuch590/deeplearning-tf https://github.com/frsong/tf-examples https://github.com/vijaykyr/tensorflow_teaching_examples

http://ujjwalkarn.github.io/Machine-Learning-Tutorials/

https://github.com/abulbasar/machine-learning -> good