Shiller PE Ratio by Month https://www.multpl.com/shiller-pe/table/by-month PE Ratio (TTM) https://www.profitspi.com/stock/view.aspx?v=stock-chart&uv=101055 Moving Averages: S&P 500 Index https://www.barchart.com/stocks/quotes/$SPX/technical-analysis Hang/San Index https://www.hsi.com.hk/eng "we are likely to see a global recession in the coming quarters." https://www.greaterfool.ca/2020/03/14/anatomy-of-bear-markets/comment-page-1/?unapproved=694043&moderation-hash=2a5261659bd9bc483fae73ca46c67007#comment-694043 "Therefore, we don’t believe any real bottom will setup before May, June or July of 2020 – after Q2 earnings are announced and …
Category: ব্লগ । Blog
ব্লগ । Blog
Mar 07
Coronavirus and the Stock Market
"Finally, the news media will never keep things in perspective. Ignore them." https://www.greaterfool.ca/wp-content/uploads/2020/03/DOUG-2.jpg?x70502 https://www.greaterfool.ca/wp-content/uploads/2020/03/DOUG-3.jpg?x70502 https://www.greaterfool.ca/wp-content/uploads/2020/03/DOUG-4.jpg?x70502 https://www.greaterfool.ca/wp-content/uploads/2020/03/DOUG-5.png?x70502 Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) …
Feb 23
Project: Optimization
Portfolio Optimization with Linear and Fixed Costs Report: https://github.com/chsasank/CVX/blob/master/Report/report.pdf Project: https://github.com/chsasank/CVX Trajectory Optimization https://github.com/zi-w/6.832-project CourseSchedulingOptimization https://github.com/BenKang34/CourseSchedulingOptimization Local search and optimization algorithms in AI https://github.com/aliarjomandbigdeli/local-search-and-optimization CS524-Group-Assignment-Optimization https://github.com/xiaohk/CS524-Group-Assignment-Optimization TOP – Timetable Optimisation Project https://people.orie.cornell.edu/mru8/orie6326/project.html Website Performance Optimization portfolio project https://github.com/baker-natalie/optimization-project Target Tracking Projects on Github https://github.com/topics/target-tracking Tracking Multiple People in a Multi-Camera Environment https://www.epfl.ch/labs/cvlab/research/research-surv/research-body-surv-index-php Appendix: Optimization Course: …
Feb 14
Python Libraries for Data Science esp. for NLP – Natural Language Processing
For NLP tasks, either you will come across these libraries or you will have to use many of these Python libraries. import nltk # tokenizer nltk.download("punkt") # stop words nltk.download("stopwords") from nltk.tokenize import TreebankWordTokenizer from nltk.tokenize import WordPunctTokenizer from nltk.tokenize import RegexpTokenizer from nltk.tokenize import sent_tokenize from nltk.corpus import stopwords import os.path import re from …
Feb 11
Misc Plots
Misc Plots: Ref: https://www.wolframalpha.com/ ***. ***. *** Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics (Ryerson University, Canada) …
Feb 11
Misc. Plots
Ref: https://www.wolframalpha.com/ —- Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics (Ryerson University, Canada) Linkedin: https://ca.linkedin.com/in/sayedjustetc Blog: http://Bangla.SaLearningSchool.com, …
Feb 10
Euclidean Norm of a Matrix
Euclidean Norm of a Matrix Ref: http://mathworld.wolfram.com/FrobeniusNorm.html ***. ***. *** Note: Older short-notes from this site are posted on Medium: https://medium.com/@SayedAhmedCanada *** . *** *** . *** . *** . *** Sayed Ahmed BSc. Eng. in Comp. Sc. & Eng. (BUET) MSc. in Comp. Sc. (U of Manitoba, Canada) MSc. in Data Science and Analytics …
Feb 09
Misc. Data Science: Clustering
"Model–based clustering assumes that the data were generated by a model and tries to recover the original model from the data. The model that we recover from the data then defines clusters and an assignment of documents to clusters. A commonly used criterion for estimating the model parameters is maximum likelihood.nlp.stanford.edu › IR-book › html …
