ShownotesIn this episode of Pain Points and Pull Requests, Fatimah and Carla give an intro to Long Short-Term Memory models and some of their useful applications. In addition to breaking down some concepts, they give an overview of a fun project they completed, generating valentines day messages using PyTorch and LSTMs. Timestamps2:14 An intro to LSTMs10:20 Applications of LSTMs12:10 Generating Valentines Day messages using PyTorch and LSTMs Extra ResourcesWhy use LSTMs?https://www.carlaleal.net/post/a-blogUnderstanding LSTM networkshttps://colah.github.io/posts/2015-08-Understanding-LSTMs/Text Generation Tutorial with PyTorchhttps://www.kdnuggets.com/2020/07/pytorch-lstm-text-generation-tutorial.htmlValentines Day Message Generatorhttps://github.com/CarlaLeal/valentines-message-generator

ShownotesIn this episode of Pain Points and Pull Requests, Fatimah and Carla walk you through their term projects for an undergraduate data mining course. Carla discusses the work her team did to predict whether a homicide will be solved or not and Fatimah discusses how she and her team analyzed the effects of COVID-19 on homeless shelter occupancy.Timestamps0:45 Part 1: Predicting Whether a Crime Is Solved Using ML3:23 Data Analysis7:00 Working with Imbalanced Datasets10:21 Decision Tree and Logistic Regression Predictions13:22 Part 2: Analyzing the Effect of Covid on Homeless Shelter Occupancy18:52  Data Analysis and Data Preparation22:17 Cofactor Analysis26:41 Associated Rule Mining Extra ResourcesTechniques to Handle Imbalanced Datasetshttps://towardsdatascience.com/the-5-most-useful-techniques-to-handle-imbalanced-datasets-6cdba096d55aSource code for project #1: predicting whether a crime will be solved:https://github.com/CarlaLeal/Predicting-Whether-a-Crime-Will-Be-SolvedSource code for project #2: https://github.com/FatimahAreola/TorontoSheltersAnalysisCBC article: City has far fewer homeless shelter beds than it says it hashttps://www.cbc.ca/news/canada/toronto/toronto-shelter-space-1.5808905University of Calgary study weather effects on homeless shelter occupancyhttps://journalhosting.ucalgary.ca/index.php/sppp/article/view/42500/30390

In this episode of Pain Points & Pull Requests, Fatimah and Carla discuss their process and findings from working on another Kaggle competition. This time, they tackle how to build a recommendation system to pair potential donors to a project they could be interested in donating to.  Timestamps1:12 What is a recommendation system?2:12 Exploratory data analysis10:26 Content-based recommendation system12:29 Evaluating recommendation systems14:47 Collaborative filtering recommendation systemExtra ResourcesDonors Choose Kaggle competitionhttps://www.kaggle.com/donorschoose/ioAn introduction to recommendation systems by Googlehttps://developers.google.com/machine-learning/recommendationDonors For Good exploratory data analysishttps://www.kaggle.com/fatimahareola/data-exploration-charity-recommendation-system Charity donation recommendation system using scikit-learn and tensorflowhttps://github.com/CarlaLeal/Charity-Donation-Recommendation-SystemTensorFlow Recommendershttps://blog.tensorflow.org/2020/09/introducing-tensorflow-recommenders.htmlDataKindhttps://www.datakind.org/

ShownotesIn this episode of Pain Points and Pull Requests, Fatimah and Carla break down a product management interview question Fatimah was given a few months ago: “How do you design a fridge for someone who is visually impaired?”. Join them to learn what  techniques you can apply to solve tricky design questions on the spot. Timestamps0:40 A real-life product management interview question4:50 Breaking down the question16:50 brainstorming solutions27:03 Critiquing and Prioritizing solutionsExtra ResourcesEpisode 14: An Introduction to Product Management with Daivik Goelhttps://open.spotify.com/episode/6sqciFQekF8i9PNOPxcOw0?si=VYOvJXwfTZqgeKvyVix-UQEpisode 6: Study Session with the Internshttps://open.spotify.com/episode/5c3n3MALEMSwdSwIOmRqvF?si=IqIhsUDqRnKdH-je4QYs9w

In this episode of Pain Points and Pull Requests, Fatimah and Carla discuss how they sliced and diced Youtube trending page and channel data to generate some interesting insights. They go over what targets they’d use to measure their success in producing content based on what they learned from their exploratory data analysis of these datasets. They also talk about the model they produced and what they did to make it perform better than other models used to predict the same target variable.Full shownotes:https://github.com/LumakiLabs/painpoints-pullrequests/blob/master/episode-19.org

----more----In this episode of Pain Points & Pull Requests, Fatimah and Carla discuss what they've learned about how to practice new skills effectively. If you're also preparing for recruiting season, you might hear about some new techniques for breaking down difficult skills and dividing your time effectively to practice them.Resources Deep work: https://www.amazon.ca/Deep-Work-Focused-Success-Distracted/dp/1455586692/ref=sr_1_1?dchild=1&keywords=deep+work&qid=1600212572&sr=8-1Essentialism: https://www.amazon.ca/Essentialism-Disciplined-Pursuit-Greg-McKeown/dp/0753555166/ref=sr_1_1?dchild=1&keywords=essentialism&qid=1600212593&sr=8-1A Mind for Numbers: https://www.amazon.ca/Mind-Numbers-Science-Flunked-Algebra/dp/039916524X/ref=sr_1_1?crid=CMWR9JPBD45F&dchild=1&keywords=a+mind+for+numbers&qid=1600212612&sprefix=Mind+for+Number%2Caps%2C152&sr=8-1Rewriting the Code(Finding mentors that are women in tech): https://rewritingthecode.org/Time Stamps3:47 Skills we're learning9:05 Prioritizing our learning19:34 5/25 rule20:42 Deliberate practice23:09 Tips for practicing deliberately31:12 Book recommendations

In this episode of Pain Points & Pull Requests, Fatimah and Carla discuss how they think about the gender gap in STEM industries. They take a crack at describing the gender gaps, the risks associated with not reducing these gaps and the assumptions on what causes them. Listen to this episode to hear about they approach unpacking this extremely important and relevant issue.

In this episode of Pain Points & Pull Requests, Fatimah and Carla talk Zoom! The application has gained millions of new users over the pandemic and with that has come many new challenges for the company. Join the hosts for a short discussion on the application's design and architecture!

In this episode of Pain Points & Pull Requests, Fatimah and Carla are joined by Zach Ingbretsen to discuss the book, The Phoeinx Project! Zach Ingbretsen is passionate about using DevOps practices to improve his productivity and effectiveness as a data scientist.  In this episode, he helps the girls break down some of the most important lessons from one of the most well-known books about DevOps.

In this episode of Pain Points and Pull Requests, Fatimah and Carla are joined by Daivik Goel! Daivik is an engineering student, program management intern at Tesla and an up-and-coming content creator. In this episode the three of them discuss his insights on internship recruitment, product management and markets.