Soumya Tiwari的动态

Level 2 Task 2: Cuisine Combination: Identify the most common combinations of cuisines in the dataset. Determine if certain cuisine combinations tend to have higher ratings. Cognifyz Technologies #cognifyz #cognifyzTech #cognifyzTechnologies #Internship #DataAnalysis #CognifyzTechnologies.

Level 2 Task 1: Restaurant Ratings Analyze the distribution of aggregate ratings and determine the most common rating range. Calculate the average number of votes received by restaurant. Cognifyz Technologies #cognifyz #cognifyzTech #cognifyzTechnologies #Internship #DataAnalysis #CognifyzTechnologies

Level 1 Task 3: Price Range Distribution: Create a histogram or bar chart to visualize the distribution of price ranges among the restaurants. Calculate the percentage of restaurants in each price range category. Cognifyz Technologies #cognifyz #cognifyzTech #cognifyzTechnologies #Internship #DataAnalysis #CognifyzTechnologies

Level 3 Task 2: Votes Analysis: Identify the restaurants with the highest and lowest number of votes. Analyze if there is a correlation between the number of votes and the rating of a restaurant Cognifyz Technologies #cognifyz #cognifyzTech #cognifyzTechnologies #Internship #DataAnalysis #CognifyzTechnologies

Proud to share My successful completion of Data Analysis tasks of Level 1@ Cognifyz Technologies Task 1:Determining the top three most common cuisines in the dataset. Calculating the percentage of restaurants that serve each of the top cuisines. Task 2:: City Analysis Task 3:Price Range Distribution Task 4:Online Delivery #Cognifyz #intern #internship

Level 1 Task 4: Online Delivery: Determine the percentage of restaurants that offer online delivery. Compare the average ratings of restaurants with and without online delivery. Cognifyz Technologies #cognifyz #cognifyzTech #cognifyzTechnologies #Internship #DataAnalysis #CognifyzTechnologies

Task 1: Build a machine learning model to predict the aggregate rating of a restaurant based on other features. #cognifyz #internship #MachineLearning #cognifyzTech

Hello?#Connection, Exited to share of completion of Level 02 : Task 01 of?#Data_Analyst?#Internship?Program offered by?Cognifyz Technologies. Below is a video attached showcasing my work. Task: Restaurant Ratings Analyze the distribution of aggregate ratings and determine the most common rating range. Calculate the average number of votes received by restaurants.?

Level 3 completed at Cognifyz Technology! ?? This milestone involved analyzing: Restaurant Reviews ?? Votes Analysis ?? Price Range vs. Online Delivery ???? Table Booking Trends ??? Every task brings new insights—excited to keep growing! #DataAnalytics #Internship #cognifyz #cognifyzTech #cognifyzTechnologies #DataScienceJourney

Excited to share that I've successfully completed Level 2 of the Cognifyz Technologies internship! ?? In this phase, I delved into the world of restaurant data analysis. By conducting in-depth analysis on table booking, online delivery, and price range, I was able to uncover valuable insights. Key tasks included: Identifying restaurant trends in table booking and online delivery Analyzing the correlation between price range and restaurant ratings Enhancing data through feature engineering Looking forward to applying these skills to real-world challenges! #cognifyz #internship #dataanalysis #featureengineering #levelup