From d3fa9019bf8d24021121a95fedf9ee5d12e1cdbf Mon Sep 17 00:00:00 2001 From: srihari-palivela Date: Tue, 19 Nov 2019 22:50:51 +0530 Subject: [PATCH 1/4] Update Unsupervised techniques --- meetup-series.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/meetup-series.md b/meetup-series.md index 197f561..78bfa20 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.** | 7th 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| +|4| **Tree-based Algorithms, Bagging and Boosting Techniques** | 4th January, 2020 | Decision Tree, Random Forest, XGBoost, LightGBM etc| +|5| **Unsupervised learning Algorithms** | 18th January, 2020 | Hierarichal Clustering, K-Means (add more checking lecture notes) 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.| From fcd4181262c8d3ae17e649513f12e1e4b77a5129 Mon Sep 17 00:00:00 2001 From: srihari-palivela Date: Tue, 19 Nov 2019 22:54:00 +0530 Subject: [PATCH 2/4] Updated Unsup learn --- meetup-series.md | 5 +++-- 1 file changed, 3 insertions(+), 2 deletions(-) diff --git a/meetup-series.md b/meetup-series.md index 78bfa20..be4346b 100644 --- a/meetup-series.md +++ b/meetup-series.md @@ -5,5 +5,6 @@ |2| **Gradient Descent and related algorithms.** | 7th 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 Algorithms, Bagging and Boosting Techniques** | 4th January, 2020 | Decision Tree, Random Forest, XGBoost, LightGBM etc| -|5| **Unsupervised learning Algorithms** | 18th January, 2020 | Hierarichal Clustering, K-Means (add more checking lecture notes) 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.| +|5| **Intro to Neural Nets.** | 18th January, 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.| +|6| **Unsupervised learning Algorithms** | 1st February, 2020 | Hierarichal Clustering, K-Means, Auto-Encoders (add more checking lecture notes) etc| + From 775e7b9d9cb22bf2e5b8332a0437cf8bcdd7abde Mon Sep 17 00:00:00 2001 From: srihari-palivela Date: Sat, 23 Nov 2019 13:37:08 +0530 Subject: [PATCH 3/4] Update 3 --- meetup-series.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/meetup-series.md b/meetup-series.md index be4346b..88fe3c6 100644 --- a/meetup-series.md +++ b/meetup-series.md @@ -4,7 +4,7 @@ |1| **Intro to Data Science** | 23rd November, 2019 | Applications of Data Science, Tools and Flow | |2| **Gradient Descent and related algorithms.** | 7th 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 Algorithms, Bagging and Boosting Techniques** | 4th January, 2020 | Decision Tree, Random Forest, XGBoost, LightGBM etc| +|4| **Tree-based Algorithms, Bagging and Boosting Techniques** | 4th January, 2020 | Decision Tree, Ensembling, Random Forest, XGBoost, LightGBM etc| |5| **Intro to Neural Nets.** | 18th January, 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.| -|6| **Unsupervised learning Algorithms** | 1st February, 2020 | Hierarichal Clustering, K-Means, Auto-Encoders (add more checking lecture notes) etc| +|6| **Unsupervised learning Algorithms** | 1st February, 2020 | Clustering, Association Rules, K-Means, Auto-Encoders (add more checking lecture notes) etc| From a43f7e72e4922904aa208af7a91f972236073652 Mon Sep 17 00:00:00 2001 From: srihari-palivela Date: Sat, 23 Nov 2019 13:38:19 +0530 Subject: [PATCH 4/4] Update 4 --- meetup-series.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/meetup-series.md b/meetup-series.md index 88fe3c6..a659241 100644 --- a/meetup-series.md +++ b/meetup-series.md @@ -6,5 +6,5 @@ |3| **Regression Techniques.** | 21st December, 2019 | We'll include Linear and Logistic Regression in this session.| |4| **Tree-based Algorithms, Bagging and Boosting Techniques** | 4th January, 2020 | Decision Tree, Ensembling, Random Forest, XGBoost, LightGBM etc| |5| **Intro to Neural Nets.** | 18th January, 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.| -|6| **Unsupervised learning Algorithms** | 1st February, 2020 | Clustering, Association Rules, K-Means, Auto-Encoders (add more checking lecture notes) etc| +|6| **Unsupervised learning Algorithms** | 1st February, 2020 | Clustering, Association Rules, K-Means, DNN-based (Ex:Auto-Encoders) etc|