Letâs start by looking at the shape od our dataset and concise summary of our dataset, using the below code:Īs we know that the large and complex datasets are very difficult to understand but they can be easily understood with the help of graphs. It is also an important step as it gives the distribution of our dataset and helps in finding similarities among features. In this section weâll deep dive into the analysis of our âtipsâ dataset. Data analysis involves the analysis of both the quantitative and qualitative data and the relationships between them. Age_new_middle_age Age_new_older_adult \Īge_new_toddler Age_new_young_adult Age_new_elderly Age_new_mid_age \Īge_new_middle_age Age_new_older_adult Age_new_toddler \Äata analysis means exploring, examining and interpreting the dataset to find the links that support decision-making. Lets handle some missing values of our dataset. Download the latest drivers, software, firmware, and diagnostics for your HP laptops from the official HP Support website. Example: HU265BM18V, LaserJet Pro P1102w. Removal of Rows or Columns that has missing value, Imputation(filling missing vlaue with mean or medain or mode), Using K-Nearest Neighbors, etc. Or, enter your serial number, product number or product name. some common steps to handle missing values are, 1. We have to find whether there are missing values in our dataset, if there are then weâll follow some steps to handle the missing values. Weâll be taking some basic steps to preprocess our data : Handling missing value Preprocessing is a must step before data analysis and model training. Preprocessing in data science refers to the process or steps that weâll take to prepare raw data for data analysis. Product_Category_2 Product_Category_3 PurchaseĪs we have now imported the dataset and now weâll work on preprocessing. Stay_In_Current_City_Years Marital_Status Product_Category_1 \ If you have Python installed, but you dont have an Anaconda installation, you should be able to install Anaconda for Python 3 and use Jupyter Notebooks. Generally speaking, the documentation of each tool is the place to learn about the best-practices for how to install and use the tool. Output: User_ID Product_ID Gender Age Occupation City_Category \ For this, Iâm going to head over to my terminal. Now weâre going to take a look at how to install and launch Jupyter Notebooks. Running the command above will start the Jupyter Notebook server and allow you to create new Notebooks. Software Engineering Interview Questions Launching Jupyter can be done by running this command: Shell.Top 10 System Design Interview Questions and Answers. Top 20 Puzzles Commonly Asked During SDE Interviews.
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