From 7dc62bfce8b864f413cda9493ce0004f41c9a22b Mon Sep 17 00:00:00 2001 From: NavyaTatikonda Date: Sat, 28 Dec 2019 21:19:26 +0530 Subject: [PATCH] change in dates --- meetup-series.md | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/meetup-series.md b/meetup-series.md index 26f9d6f..6047e29 100644 --- a/meetup-series.md +++ b/meetup-series.md @@ -4,6 +4,6 @@ |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.| +|4| **Tree-based and Bagging Algorithms.** | 5th January, 2020 | Decision Tree, Random Forest, etc| +|5| **Boosting Techniques.** | 19th January, 2020 | XGBoost, LightGBM, etc| +|6| **Intro to Neural Nets.** | 2nd 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.|