Shaarmi G’s Post

🌟 Excited to share that I have successfully completed Level 1 Task 3 at Cognifyz Technologies! 🌟 In this task, I created a histogram and bar chart to visualize the distribution of price ranges among the restaurants. Additionally, I calculated the percentage of restaurants in each price range category. This project has enhanced my skills in data visualization and analysis, helping me to better understand pricing trends in the restaurant industry. #CognifyzTechnologies #Cognifyz #CognifyzTech #DataAnalyst #DataScience #DataAnalysis #DataVisualization #BigData

🌟 Excited to share that I have successfully completed Level 3 Task 3 at Cognifyz Technologies! 🌟 In this task, I analyzed if there is a relationship between the price range and the availability of online delivery and table booking. Additionally, I determined if higher-priced restaurants are more likely to offer these services. This project has enhanced my understanding of pricing strategies in the restaurant industry and improved my analytical capabilities. #CognifyzTechnologies #Cognifyz #CognifyzTech #DataAnalyst #DataScience #DataAnalysis #DataVisualization #BigData

🌟 Proud to share that I have successfully completed Level 1 Task 4 at Cognifyz Technologies! 🌟 In this task, I determined the percentage of restaurants that offer online delivery and compared the average ratings of restaurants with and without online delivery. This project has deepened my understanding of the impact of online delivery services on restaurant ratings and further honed my data analysis skills. #CognifyzTechnologies #Cognifyz #CognifyzTech #DataAnalyst #DataScience #DataAnalysis #DataVisualization #BigData

"Another milestone achieved in my data science journey with Cognifyz! 🎉 Delving into feature engineering, we've transformed raw data into actionable insights. From extracting lengths of restaurant names to encoding categorical variables for features like 'Has Table Booking' and 'Has Online Delivery,' it's all about enhancing data richness for smarter analysis. Ready to unlock new dimensions of restaurant analytics! 💼🔍 #DataScience #FeatureEngineering #Cognifyz #Analytics"

Task 3: Price Range Distribution 💰 Delighted to share findings from my recent project at Cognifyz Technologies! 📊 I visualized the distribution of price ranges among restaurants using a histogram, revealing fascinating insights into pricing strategies. Did you know that the majority of restaurants fall into the moderate price range category? 💡 I also calculated the percentage of restaurants in each price range, offering valuable insights for the industry. Stay tuned for more intriguing data visualizations! #Cognifyz #CognifyzTech #CognifyzTechnologies #PriceAnalysis #RestaurantPricing #DataVisualization #DataInsights

Cognifyz Technologies 🚀🚀📈 Level 3 Project Update: Predictive Modeling, Customer Preference Analysis & Data Visualization Task 1: Predictive Modeling - Built a regression model to predict the aggregate rating of a restaurant based on available features. - Experimented with different algorithms (e.g., Linear Regression, Decision Trees, Random Forest) and compared their performance. - Split the dataset into training and testing sets and evaluate the model's performance using appropriate metrics. Task 2: Customer Preference Analysis - Analyzed the relationship between the type of cuisine and the restaurant's rating. - Identified the most popular cuisines among customers based on the number of votes. - Determined if there are any specific cuisines that tend to receive higher ratings. Task 3: Data Visualization - Created visualizations to represent the distribution of ratings using different charts (e.g., histogram, bar plot). - Compared the average ratings of different cuisines or cities using appropriate visualizations. - Visualized the relationship between various features and the target variable to gain insights. Excited to share the progress at Cognifyz Technologies where data meets intelligence! #DataAnalysis #FeatureEngineering #CognifyzTechnologies #Cognifyz #CognifyzTech

Hi Connections! In my recent analysis at Cognifyz Technologies, I identified restaurant chains present in the dataset and compared their ratings and popularity. 🌟 It was interesting to see how some chains consistently performed well in terms of customer ratings and engagement, highlighting the importance of brand consistency. Excited to uncover more insights in my data journey! 🚀 #DataAnalysis #CognifyzTechnologies #Cognifyz #CognifyzTech @CognifyzTechnologies 🔗 Here’s my Github link-->https://lnkd.in/gEnznqXY

Completed Task 2 of data analysis project with Cognifyz Technologies !! Task: Descriptive Analysis Conducted an in-depth analysis of our dataset focusing on both numerical and categorical variables related to restaurants. For numerical columns, I computed basic statistical measures such as the mean, median, and standard deviation using describe(). These measures provide valuable insights into the central tendency and variability of the data, aiding in understanding the distribution of key metrics like ratings, prices, or Votes. In addition, I delved into the distribution of categorical variables such as "Country Code," "City," and "Cuisines." By exploring these variables, I identified the top 5 cuisines and cities with the highest number of restaurants. By uncovering these insights, we gain a clearer understanding of our data landscape, which can inform strategic decisions and optimizations within our platform. #cognifyz #cognifyzTech #cognifyzTechnologies

🚀 Exciting Project Update! 🚀 I'm thrilled to share that I've recently completed a project where I used machine learning to predict restaurant ratings based on various features. 🎯 🔍 Project Highlights: Data Preprocessing: Handled missing values, encoded categorical variables, and scaled numerical features. Model Selection: Implemented regression algorithms to train the model and predict ratings. Evaluation: Assessed model performance using metrics like Mean Squared Error (MSE) and R-squared. Feature Analysis: Identified and visualized the most influential features affecting restaurant ratings. The insights gained from this analysis are invaluable for understanding customer feedback and improving restaurant services. 🍽️📈 A big thank you to the team at Cognifyz Technologies for their support and resources! #MachineLearning #DataScience #RestaurantRatings #Cognifyz #CognifyzTech #DataAnalysis

🌟 Excited to share that I have successfully completed Level 1 Task 1 at Cognifyz Technologies! 🌟 For this task, I determined the top three most common cuisines in the dataset and calculated the percentage of restaurants that serve each of these top cuisines. This experience has further enhanced my data analysis skills and understanding of the food service industry trends. #CognifyzTechnologies #Cognifyz #CognifyzTech #DataAnalyst #DataScience #DataAnalysis #DataVisualization #BigData