diff --git a/CODE_OF_CONDUCT.md b/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..b22f7cc --- /dev/null +++ b/CODE_OF_CONDUCT.md @@ -0,0 +1,76 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as +contributors and maintainers pledge to making participation in our project and +our community a harassment-free experience for everyone, regardless of age, body +size, disability, ethnicity, sex characteristics, gender identity and expression, +level of experience, education, socio-economic status, nationality, personal +appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment +include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or + advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic + address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a + professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable +behavior and are expected to take appropriate and fair corrective action in +response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or +reject comments, commits, code, wiki edits, issues, and other contributions +that are not aligned to this Code of Conduct, or to ban temporarily or +permanently any contributor for other behaviors that they deem inappropriate, +threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces +when an individual is representing the project or its community. Examples of +representing a project or community include using an official project e-mail +address, posting via an official social media account, or acting as an appointed +representative at an online or offline event. Representation of a project may be +further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be +reported by contacting the project team at achintyashankhdhar@gmail.com. All +complaints will be reviewed and investigated and will result in a response that +is deemed necessary and appropriate to the circumstances. The project team is +obligated to maintain confidentiality with regard to the reporter of an incident. +Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good +faith may face temporary or permanent repercussions as determined by other +members of the project's leadership. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, +available at https://www.contributor-covenant.org/version/1/4/code-of-conduct.html + +[homepage]: https://www.contributor-covenant.org + +For answers to common questions about this code of conduct, see +https://www.contributor-covenant.org/faq diff --git a/LICENSE b/LICENSE new file mode 100644 index 0000000..46fbf72 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2018 Achintya Shankhdhar + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/MatplotlibBasics/README.md b/MatplotlibBasics/README.md new file mode 100644 index 0000000..28cb847 --- /dev/null +++ b/MatplotlibBasics/README.md @@ -0,0 +1,10 @@ +# Why is Matplotlib is necessary +Matplotlib is necessary because it is very necessary because while assesing the perfromance of your machine learning model you need to visualize that the model is working perfectly and if it not then you need to change the parameters + +# About the Repo +Here are some functions basically, plots which are highly used to while machine learning so as to analyse the data + +# What next +There are various properties of the graphs that have been untouched, it would be fun if you would play with them +Also going through the documentation of the library would be helpful. +Access the link [here](https://matplotlib.org/contents.html) diff --git a/NumpyBasics/README.md b/NumpyBasics/README.md new file mode 100644 index 0000000..68d8a01 --- /dev/null +++ b/NumpyBasics/README.md @@ -0,0 +1,7 @@ +# About Numpy +It is the python library to conduct easy matrix operations, matrices are used a lot in machine learning so we need numpy to handle them easily, else we have to write nested loops for even the simplest things +# NUMPY BASICS +Here I have tried to cover sum basic functions of Numpy which one must know because they are used very often. +# What Next +Go through the documentation of Numpy and implement some more functions if you like +click [here](https://docs.scipy.org/doc/numpy-1.15.0/docs/index.html) to go to the documentation page \ No newline at end of file diff --git a/PandasBasics/README.md b/PandasBasics/README.md index 85b42ac..546cd13 100644 --- a/PandasBasics/README.md +++ b/PandasBasics/README.md @@ -1,2 +1,12 @@ +# Pandas +Pandas is a python library used for the purpose of handling datasets +machine learning involves playing with large datasets, in order to be able +to deduce inferences from the data one needs to know how to process it +how to clean it +Thats what Pandas is used for # About -The files contain the basic knowlege necessary to use Pandas which is a very important library used in machine learning +Here are some basic operations which one must know if they are getting started with machine learning, this much knowledge of handling datasets is necessary + +# Advice +This is just an introduction one shoulc definitely go through the docs of pandas to understand more functions. +Access the link to the documentation [here](https://pandas.pydata.org/pandas-docs/stable/) \ No newline at end of file diff --git a/README.md b/README.md index 160f495..b230ec7 100644 --- a/README.md +++ b/README.md @@ -15,6 +15,9 @@ for web development, for hacking, etc Also Python is a very easy language to get started with, its syntaxes are not as complicated as that of Java and it has built a pretty decent community Therefore Python got popular for machine learning +# Why use Jupyter notebook +Jupyter notebook lets you see the code and the result together, you don't have to run the code again and again to see the result there for makes it easier to understand the code from a educational point of view. +As for machine learning, in machine learning you have to train the model and that may take a lot of time to process. You don't want the processing to happen again and again, you wanna play with the weights you have obtained. So thats why we use jupyter notebook because you train the model once and then play with the results as much as you want. # TOPICS COVERED 1. Numpy 2. Pandas diff --git a/ScikitLearn_Basics/README.md b/ScikitLearn_Basics/README.md index e776da4..48c1132 100644 --- a/ScikitLearn_Basics/README.md +++ b/ScikitLearn_Basics/README.md @@ -2,4 +2,7 @@ Scikit Learn is a library that has APIs for building machine learning algorithms and very basic neural networks. # Why use SciKit Learn -It is a very easy to use library and it has very desscriptive documentation along with having tutorials on getting started with machine learning \ No newline at end of file +It is a very easy to use library and it has very desscriptive documentation along with having tutorials on getting started with machine learning +# What next +Scikit learn is the easiest machine learning library, and it has a very easy to go through documentation so one must definitely go through it +you can access the documentation [here](https://scikit-learn.org/stable/documentation.html) \ No newline at end of file