blog.resolvingpython.com#01 Challenge | Delhi's Air Quality DataWe have started a biweekly series of challenges in this Study Circle. After considering the topics you have suggested in the comments, we are kicking off with Time Series. Why this Data topic? This morning, I read the Economist Espresso on India's po...Nov 4, 2022·5 min read
blog.resolvingpython.comSummarise Time Series data with the DataFrame.resample function❌ Don't think of a for loop if you want to summarise your daily Time Series by years. ✅ Instead, use the function resample() from pandas. Let me explain it with an example. We start by loading a DataFrame from a CSV file that contains information on ...Nov 3, 2022·2 min read
blog.resolvingpython.com#06 | Locating & Filtering the pandas.DataFramePossibilities Sometimes, we want to select specific parts of the DataFrame to highlight some data points. In this case, we refer to the topic as locating & filtering. For example, let's load the dataset of cars: import seaborn as sns df_mpg = sns.lo...Oct 14, 2022·14 min read
blog.resolvingpython.comHow Edo Guida got a Python job in three months with no programming backgroundSkilled Python Professionals' Demand Take a look at this article to understand why Python is the programming language of the present and the future. Okay, you've already got a reason to learn Python: you will have more chances because Python-related ...Sep 10, 2022·3 min read
blog.resolvingpython.com#05 | The k-Means & Unsupervised Clustering ModelsChallenge Importance The time has come to add another layer to the hierarchy of Machine Learning models. Do we have the variable we want to predict in the dataset? YES: Supervised Learning Predicting a Numerical Variable → Regression Predicting a C...Sep 6, 2022·9 min read