diff --git a/README.md b/README.md index 166c774..5e900d7 100644 --- a/README.md +++ b/README.md @@ -1,6 +1,8 @@ # LearnDataScience Repo for the Learn Data Science program +#### 💬 Join our Chatroom : https://discordapp.com/invite/72xy4bJ + Coderplex and Facebook DevC Hyderabad are organizing a series of Data Science meetups from November 2019 onwards. This series will go on for at least 3 months, but can extend longer as well. We will have at least two or more meetups per month throughout the series. We will be sharing and following our [open online curriculum for learning Data Science](https://github.com/coderplex/LearnDataScience/blob/master/curriculum.md), that anyone can go through. But we will be selecting only a smaller group of people to attend these offline meetups, they will not be listed anywhere. They will be shared privately with this selected group At each meetup, we will have a talk from an Data Science expert from the ecosystem, and after that we'll have hours of peer learning and collaboration. Participates will pair together and work through challenges and projects, and they will also be encouraged to regularly share their progress with everyone diff --git a/curriculum.md b/curriculum.md index f96b371..6fb576b 100644 --- a/curriculum.md +++ b/curriculum.md @@ -1 +1,32 @@ -## This is the curriculum for learning Data Science +#### 💬 Join our Chatroom : https://discordapp.com/invite/72xy4bJ + +### Resources +- [Awesome Data Science](https://github.com/academic/awesome-datascience) + + +## Learn Data Science Curricuum + +- [Linear Algebra](https://www.khanacademy.org/math/linear-algebra) +- [Single Variable Calculus](https://www.youtube.com/playlist?list=PL590CCC2BC5AF3BC1) +- [Multivariable Calculus](https://www.khanacademy.org/math/multivariable-calculus) +- [Probability and Statistics](https://www.khanacademy.org/math/statistics-probability) +- [Learn Git and GitHub](https://try.github.io/) +- [Python](https://www.kaggle.com/learn/python) +- [Coding Challenges](https://www.codewars.com/?language=python) +- [Learn SQL](https://mystery.knightlab.com/) +- [Introduction to Data Science](https://www.youtube.com/watch?v=N6BghzuFLIg) +- [Solve the Titatic Challenge](https://www.kaggle.com/c/titanic/data) +- [Machine Learning](https://www.kaggle.com/learn/intro-to-machine-learning) +- [Intermediate Machine Learning](https://www.kaggle.com/learn/intermediate-machine-learning) +- [Data Visvalization](https://www.kaggle.com/learn/data-visualization) +- [Pandas](https://www.kaggle.com/learn/pandas) +- [Feature Engineering](https://www.kaggle.com/learn/feature-engineering) +- [Deep Learning](https://www.kaggle.com/learn/deep-learning) +- [Intro to SQL](https://www.kaggle.com/learn/intro-to-sql) +- [Advanced SQL](https://www.kaggle.com/learn/advanced-sql) +- [Geospatial Analysis](https://www.kaggle.com/learn/geospatial-analysis) +- [Microchallenges](https://www.kaggle.com/learn/microchallenges) +- [Machine Learning Explainability](https://www.kaggle.com/learn/machine-learning-explainability) +- [Solve more challenges](https://analyticsindiamag.com/popular-data-science-projects-for-aspiring-data-scientists/) +- Build a project ([Example Datasets](https://www.kaggle.com/datasets)) +- Participate in Data Science competitions on [Kaggle](https://www.kaggle.com/) and [DrivenData](https://www.drivendata.org) etc diff --git a/dataScienceTools.md b/dataScienceTools.md new file mode 100644 index 0000000..5864bcf --- /dev/null +++ b/dataScienceTools.md @@ -0,0 +1 @@ +## Reference for Data Science tools diff --git a/meetup-series.md b/meetup-series.md index 14bb977..26f9d6f 100644 --- a/meetup-series.md +++ b/meetup-series.md @@ -1,9 +1,9 @@ -# This is the structure of the meetup series -|Meetup | Title | Description| -|--------|------------|------------| -|1| **Basics of linear Algebra and Python.** |We will be explaining the basics of python and algebra, that are sufficient for the coming 5 meetups, and give them assignments to work on.| -|2| **Gradient Descent and related algorithms.** |Using the assignments that we have provided in Meetup 1, we have to explain gradient descent, and possibly the other such algorithms. The assignment for this meetup will be considering a loss function and randomly initiated the weights and plotting the loss using python.| -|3| **Regression Techniques.** |We'll include Linear and Logistic Regression in this session.| -|4| **Tree-based and Bagging Algorithms.** |Decision Tree, Random Forest, etc| -|5| **Boosting Techniques.** |XGBoost, LightGBM, etc| -|6| **Intro to Neural Nets.** |We'll start from linear and logistic regression and complicate it a little to explain Deep Neural Nets. If possible we can explain CNNs and RNNs as well.| +# Offline Meetup Schedule [Timing : 10 am - 6 pm] +|Meetup | Title | Date | Description| +|--------|------------|------------|------------| +|1| **Intro to Data Science** | 23rd November, 2019 | Applications of Data Science, Tools and Flow | +|2| **Gradient Descent and related algorithms.** | 14th December, 2019 | Using the assignments that we have provided in Meetup 1, we have to explain gradient descent, and possibly the other such algorithms. The assignment for this meetup will be considering a loss function and randomly initiated the weights and plotting the loss using python.| +|3| **Regression Techniques.** | 21st December, 2019 | We'll include Linear and Logistic Regression in this session.| +|4| **Tree-based and Bagging Algorithms.** | 4th January, 2020 | Decision Tree, Random Forest, etc| +|5| **Boosting Techniques.** | 18th January, 2020 | XGBoost, LightGBM, etc| +|6| **Intro to Neural Nets.** | 1st February, 2020 | We'll start from linear and logistic regression and complicate it a little to explain Deep Neural Nets. If possible we can explain CNNs and RNNs as well.|