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Posts 100 posts

#	Date	Post	↓ Outlier	Views	Likes	Reposts	Bookmarks
1	Oct 12, '22	The 10 Best Data Visualizations of 2022 by Terence Shin	21.8×	0	722	185	417
2	Apr 17, '22	An Interactive Guide to Hypothesis Testing in Python by @GongDestin	18.6×	0	671	175	314
3	Oct 16, '22	5 Python Projects to Automate Your Life: From Beginner to Advanced by @frankandradec	17×	0	570	135	336
4	May 19, '22	rajini++: The Superstar Programming Language by @asankar96	15.4×	0	579	347	19
5	Sep 24, '23	"I’m a Data Scientist at Spotify and I’m here to give you the heads-up I wish someone had given me 4 years ago. If you’re about to take the next step towards your dream degree, the	14.7×	93k	441	92	445
6	Oct 1, '23	There are multiple ways to approach customer-segmentation projects. Damian Gil presents three in his clear, thorough guide: Kmeans, K-Prototype, and a combined LLM + Kmeans method.	13.5×	85k	458	105	257
7	Aug 29, '23	Elevating machine learning models and data science products with efficient code and python classes by Molly Ruby	12.5×	79k	325	72	192
8	Nov 4, '20	21 amazing Youtube channels for you to learn AI, Machine Learning, and Data Science for free by @Liberoliber	12.4×	0	436	136	184
9	Jul 11, '22	Exploratory Data Analysis in Python — A Step-by-Step Process by @theDrewDag	11.6×	0	419	94	209
10	Aug 3, '23	"Logistic regression is perhaps the most popular and well-known machine learning model. It solves the binary classification problem — for predicting whether a data point belongs to	11.5×	72k	534	115	259
11	Jan 22, '23	Learn the math and methods behind the libraries you use daily as a data scientist with Adrienne Kline's post.	11.4×	72k	360	83	165
12	Jun 29, '20	We just revamped our guide ✨🎉 How to Get the Most Out of Towards Data Science	10.9×	0	476	128	80
13	Dec 26, '21	Deep Learning with Python: Neural Networks (complete tutorial) by @maurodp90	10.9×	0	457	93	158
14	Aug 14, '22	How to Study Python for Data Science by @F_Trotta90	10.8×	0	382	74	210
15	Jan 6, '22	Bayesian Statistics Overview and your first Bayesian Linear Regression Model by Akashkadel	10.3×	0	445	75	159
16	Feb 2, '22	All Machine Learning Algorithms You Should Know in 2022 by Terence Shin	10.2×	0	420	99	138
17	May 27, '23	"Any decision we make based on hypothesis testing may be incorrect. We can reject when we should have accepted, and vice versa. This arises when we use a single sample to inform pr	10.1×	64k	309	63	152
18	Mar 20, '22	How to Deploy Your Machine Learning Project by Paul Simpson	10.0×	0	423	113	116
19	May 15, '22	How To Detect Outliers in a Data Science Project by Federico Trotta	9.6×	0	386	81	144
20	Sep 24, '22	How is probability used in machine learning? Ajay Halthor explains it all.	9.4×	0	321	78	175
21	Aug 7, '20	Python: Detecting Twitter Bots with Graphs and Machine Learning	9.2×	0	390	110	93
22	Sep 23, '22	The normal distribution, clearly (and thoroughly) explained! The latest installment in Adrienne Kline's excellent Statistics Bootcamp is here.	8.9×	0	296	81	164
23	Jan 14, '23	Mastering Time Series Analysis with Python Classes by Sadrach Pierre, Ph.D.	8.8×	55k	281	56	126
24	Sep 12, '22	How is probability used in machine learning? Ajay Halthor explains it all here.	8.7×	0	303	69	166
25	Feb 1, '22	How to Self-Learn Data Science in 2022 by @GongDestin	8.6×	0	301	92	131
26	Mar 19, '23	. @WingedRasengan offers a comprehensible guide on hypothesis testing with examples and visualizations.	8.4×	53k	293	57	155
27	Apr 1, '22	Becoming a data visualization pro involves more than just tools and code — you also need to develop a deeper knowledge of design and psychology. To help you get there, here's a pat	8.4×	0	346	76	120
28	Feb 3, '22	Translating SQL into Python -Part 1 by Holly Dalligan	8.3×	0	348	66	125
29	Aug 21, '23	P-Values: Understanding Statistical Significance in Plain Language by Maham Haroon	7.9×	50k	308	54	219
30	Sep 19, '20	Introducing PyTorch Forecasting	7.9×	0	358	98	71
31	Jul 19, '20	How does a neural network learn	7.9×	0	346	98	74
32	Apr 23, '23	. @ThomasADorfer offers a comprehensive guide covering the most commonly used evaluation metrics for supervised classification and their utility in different scenarios.	7.9×	50k	269	61	137
33	Dec 28, '21	All Machine Learning Algorithms You Should Know in 2022 by Terence Shin	7.8×	0	298	66	126
34	Jan 28, '23	How is probability used in machine learning? Learn about it from Ajay Halthor's post.	7.8×	49k	369	92	163
35	Nov 22, '20	All Machine Learning Algorithms You Should Know in 2021	7.6×	0	319	87	83
36	May 8, '22	10 SQL Operations for 80% of your Data Manipulation by Anmol Tomar	7.6×	0	328	81	91
37	Dec 27, '21	Git and GitHub basics for Data Scientists by @PhilipW1lk	7.6×	0	294	55	133
38	Aug 8, '23	"Logistic regression is perhaps the most popular and well-known machine learning model. It solves the binary classification problem — for predicting whether a data point belongs to	7.6×	48k	317	64	143
39	Jun 9, '21	5 Minutes Cheat Sheet Explaining all Machine Learning Models by @AnveeNaik	7.6×	0	313	89	85
40	May 25, '22	SQL Coding Best Practices for Writing Clean Code by Anmol Tomar	7.5×	0	317	68	107
41	May 29, '22	4 Python Packages to Create Interactive Dashboards by @CornelliusYW	7.4×	0	289	77	105
42	Mar 19, '22	Teach (and learn) the Fourier transform geometrically! by Peter Barrett Bryan	7.3×	0	380	64	70
43	Jan 10, '22	Four Deep Learning Papers to Read in January 2022 by @RobertTLange	7.3×	0	290	61	116
44	Mar 17, '22	How to Start Programming in Python: Anaconda 101 by Peter Grant	7.3×	0	296	69	105
45	Mar 10, '22	10 Quick SQL Tips After Writing Daily in SQL for 3 Years by Andreas Martinson	7.2×	0	274	68	114
46	Mar 13, '22	Learn how to create beautiful custom dashboards in Python — here's a quick guide to Dash layouts by @zluvsand.	7.0×	0	275	51	124
47	Mar 2, '22	How To Create a SQL Practice Database with Python by @lanhenke	7.0×	0	268	60	119
48	Feb 5, '22	Natural Language to SQL from Scratch with Tensorflow by Eileen Pangu	7.0×	0	307	59	96
49	Feb 21, '22	Scrape Data from PDF Files Using Python and PDFQuery by Aaron Zhu	7.0×	0	299	63	95
50	Feb 13, '22	Designing your database schema — best practices by Chloe Lubin	7.0×	0	302	63	97
51	Sep 11, '20	The Mathematics Behind Deep Learning by @tris_xcj	7.0×	0	280	94	75
52	Feb 3, '22	Bayesian Statistics Overview and your first Bayesian Linear Regression Model by Akashkadel	7.0×	0	303	72	81
53	May 10, '22	Statistical Power in Hypothesis Testing — Visually Explained by @GongDestin	6.9×	0	300	41	115
54	Feb 9, '21	Yes, there are a million "how to become a data scientist" posts out there, but few are as clear and as actionable as @SaraMetwalli's roadmap.	6.9×	0	260	58	116
55	Feb 17, '22	Massive Tutorial on Image Processing And Preparation For Deep Learning in Python, Part 2 by @BexTuychiev	6.9×	0	287	75	83
56	Jun 6, '22	Python Best Practices for Writing Industry Standard Code by Anmol Tomar	6.8×	0	289	56	101
57	Feb 14, '21	How to Extract the Text from PDFs Using Python and the Google Cloud Vision API by Silvia Zeamer	6.8×	0	253	73	97
58	May 19, '24	A Complete Guide to BERT with Code - History, Architecture, Pre-training, and Fine-tuning by Bradney Smith	6.7×	42k	393	94	322
59	Feb 4, '22	Principal Component Analysis (PCA) Explained Visually with Zero Math by Casey Cheng	6.7×	0	299	63	80
60	Dec 6, '21	Learn how to write clean Python code using Pipes by following @KhuyenTran16's step-by-step guide.	6.6×	0	292	54	91
61	Jul 18, '20	Every Machine Learning Algorithm Can Be Represented as a Neural Network by Andre Ye	6.6×	0	280	83	61
62	Aug 26, '21	Data Visualization In Excel Using Python by @Himansh70809561 and Piyush Ingale.	6.5×	0	285	66	76
63	Nov 14, '21	Tobi Sam shows the easiest way to remember Regular Expressions (Regex).	6.4×	0	267	51	97
64	May 22, '20	How I built a Face Mask Detector for COVID-19 using PyTorch Lightning	6.4×	0	290	81	45
65	Dec 30, '21	Graph Machine Learning with Python pt. 1: Basics, Metrics, and Algorithms by @AniMadurkar	6.2×	0	269	52	90
66	Apr 2, '22	A Simple Guide to Machine Learning Visualisations by @vickdata	6.2×	0	283	74	57
67	Dec 24, '21	Tobi Sam shows the easiest way to remember Regular Expressions (Regex).	6.2×	0	280	61	76
68	Jul 16, '22	Bayesian Deep Learning & Estimating Uncertainty by Saptashwa Bhattacharyya	6.2×	0	253	50	89
69	Oct 16, '21	Solve Sudoku using linear programming (Python — PuLP) — here's Lakshmi Ajay's tutorial.	5.8×	0	275	56	60
70	Oct 31, '20	Python Data Visualization with Matplotlib — Part 2 by @rizman_nana	5.8×	0	255	61	63
71	Jul 31, '21	Data scientist’s guide to efficient coding in Python by @vishi222	5.7×	0	261	52	68
72	Feb 4, '23	How to Find the Best Theoretical Distribution for Your Data by Erdogan Taskesen	5.2×	33k	257	75	114
73	Mar 2, '24	Naive Bayes clearly explained - Solving the iris dataset with a gaussian approach in scikit-learn by Yoann Mocquin	4.2×	27k	252	55	209
74	May 15, '24	N-BEATS — The First Interpretable Deep Learning Model That Worked for Time Series Forecasting by Jonte Dancker	3.5×	22k	132	36	79
75	Dec 16, '23	"With the announcement of MLX, it seems that Apple wants to make a significant leap into open source deep learning." Tristan Bilot provides a helpful benchmark to assess the perfor	3.4×	21k	103	71	16
76	Jan 1, '24	"While a managed training service might be the ideal solution for many ML developers [..], there are some occasions that warrant running directly on 'unmanaged' machine instances [	2.9×	18k	107	73	8
77	Mar 3, '24	Introduction to Causal Inference with Machine Learning in Python: Discover the concepts and basic methods of causal machine learning applied in Python, courtesy of Marco Peixeiro.	2.6×	17k	70	17	41
78	Mar 11, '24	Why is K-Nearest Neighbors one of the most popular machine-learning algorithms? Cristian Leo helps us to understand it by diving into its math and building it from scratch.	2.4×	15k	126	27	96
79	Jan 8, '24	If you're a machine learning engineer in need of an accessible introduction to log loss — including the math and theory behind it — don't miss @jrobvision's thorough explainer.	2.4×	15k	126	70	25
80	Apr 4, '24	Interested in the intersection of physics and machine learning? Don't miss Shuyang Xiang's primer on building physics-informed neural networks to formulate shock waves.	2.2×	14k	107	39	16
81	Dec 10, '23	Courage to Learn ML: Decoding Likelihood, MLE, and MAP by Amy Ma	2.1×	13k	98	78	18
82	Mar 12, '24	How does a neural network learn? Don't miss Shreya Rao's patient, well-illustrated guide, aimed at readers who are taking their first steps in deep learning.	2.0×	13k	80	24	48
83	May 28, '24	"The flexibility and ease of modifying code in a Jupyter notebook can lead to a casual attitude toward more structured software practices like writing unit tests." Jonathan Serrano	2.0×	12k	38	9	15
84	Feb 27, '24	Lessons From My ML Journey: Data Splitting and Data Leakage - Common mistakes to avoid when you transition from statistical modelling to Machine Learning by Khin Yadanar Lin	1.9×	12k	26	8	16
85	Jan 20, '24	Courage to Learn ML: A Detailed Exploration of Gradient Descent and Popular Optimizers - Are You Truly Mastering Gradient Descent? Use This Post as Your Ultimate Checkpoint by Amy	1.8×	11k	70	41	19
86	Dec 28, '23	Courage to Learn ML: An In-Depth Guide to the Most Common Loss Functions - MSE, Log Loss, Cross Entropy, RMSE, and the Foundational Principles of Popular Loss Functions by Amy Ma	1.8×	11k	114	88	27
87	Apr 4, '24	In their hands-on introduction to Microsoft Fabric, @Roger_Noble and @MartimChaves1 explore the platform's abilities, using basketball data to train and use a machine learning mode	1.7×	11k	66	47	10
88	Dec 23, '23	Dealing with MRI and Deep Learning with Python - In this post, Carla Pitarch Abaigar delves into how to align our data with the model’s requirements and how to prepare the model to	1.6×	10k	52	30	6
89	Jun 5, '24	"If all machine learning engineers want one thing, it’s faster model training — maybe after good test metrics" by @alexdremov_me	1.5×	9.7k	43	26	11
90	Dec 12, '23	How to design an MLOps architecture in AWS? A guide for developers and architects especially those who are not specialized in machine learning to design an MLOps architecture for t	1.4×	8.9k	58	40	23
91	Mar 30, '24	In this article, @ds_claudia_ walks through four graph-based feature engineering ideas for your ML models:	1.4×	8.9k	62	15	45
92	May 12, '24	In this article, Theo Wolf shares a new type of network that is making waves in the ML world:	1.4×	8.8k	58	21	29
93	Jun 22, '24	Patiently explained and expertly illustrated, Shreya Rao's new deep learning explainer tackles long short-term memory (LSTM) networks, making them accessible for learners of all le	1.2×	7.3k	49	14	27
94	Dec 22, '23	In some instances, machine learning shouldn't, in fact, be your go-to solution. Toon Beerten explains the tradeoffs of various approaches using a signature-detection case study.	1.1×	7k	63	38	8
95	Jan 1, '24	Testing the Consistency of Reported Machine Learning Performance Scores by the mlscorecheck Package - A small step towards the big leap of reproducible machine learning science by	1.1×	6.9k	37	19	7
96	Mar 12, '24	Building scalable Kubeflow ML pipelines on Vertex AI and ‘jailbreaking’ Google prebuilt containers by Kabeer Akande	1.1×	6.6k	30	5	9
97	Apr 5, '24	For his first TDS article, Jonathan Yahav explores the intersection of game theory and machine learning, zooming in on PAC learning and how it can work in a strategic binary classi	1.0×	6.6k	56	13	15
98	Feb 8, '24	How do ML algorithms navigate and move across the structured representations of "spaces"? Salih Salih offers a lucid explainer that takes a close look at SVMs, autoencoders, and Is	1.0×	6.3k	31	15	13
99	Feb 13, '24	Math meets machine learning in Rodrigo Silva's latest explainer, where he demonstrates that neural network can be a valuable tool for solving a differential equation.	0.8×	5.3k	40	25	5
100	Dec 23, '23	Not sure which feature-importance method to pick or how to start using the one you've chosen? @theomitsa introduces us to no fewer than 21 packages and algorithms to explore for th	0.8×	4.8k	24	18	1

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