Albert Tom’s Post

Greetings connections! I'm thrilled to announce the successful completion of Level 1 tasks at Cognifyz Technologies, where I delved into the captivating world of Data Science. Throughout this journey, my focus was on three pivotal tasks: 📗Task 1: Data Exploration and Preprocessing - Conducted thorough exploration of the dataset to identify its dimensions. - Addressed missing values in each column with appropriate handling techniques. - Executed essential data type conversions for optimal analysis. - Analyzed the distribution of the target variable ("Aggregate rating") to detect any class imbalances. 📘 Task 2: Descriptive Analysis - Calculated fundamental statistical measures (mean, median, standard deviation, etc.) for numerical columns. - Investigated the distribution of categorical variables such as "Country Code", "City", and "Cuisines". - Identified top cuisines and cities boasting the highest number of restaurants. 📙 Task 3: Geospatial Analysis - Visualized restaurant locations on a map utilizing latitude and longitude data. - Explored the distribution of restaurants across various cities or countries. - Investigated potential correlations between restaurant location and its rating. These tasks not only honed my skills but also provided invaluable insights into the intricate landscape of data science. I look forward to applying this knowledge in future endeavors. #cognifyzTechnologies #DataScience #cognifyz #cognifyzTech

Excited to announce that I've completed Task 3 for Data Science at Cognifyz! Proud of the progress and looking forward to the upcoming challenges. The tasks involve building a predictive model to forecast restaurant ratings based on various features, analyzing customer preferences regarding different cuisines and their ratings, and creating visualizations to understand the distribution and relationships within the data. The predictive modeling task requires experimenting with algorithms like linear regression, decision trees, and random forests to determine which provides the best performance on a dataset split into training and testing sets. The customer preference analysis examines the relationship between cuisine types and ratings, identifies popular cuisines based on votes, and determines if certain cuisines generally receive higher ratings. The data visualization task involves creating charts to display rating distributions, comparing average ratings across different cuisines or cities, and visualizing relationships between various features and the target variable. #DataScience #Cognifyz Where data meets intelligence Cognifyz Technologies My work: https://lnkd.in/gJqTppEp

Exciting news! I've successfully completed my Level 1 tasks at Cognifyz Technologies, where I've dived deep into the realm of data science. Throughout this journey, I focused on three key tasks: Task 1: Data Exploration and Preprocessing I meticulously explored datasets, identifying their dimensions and ensuring data integrity by handling missing values and performing necessary data type conversions. Analyzing the distribution of the target variable, Aggregate rating helped uncover any class imbalances, crucial for robust analysis. Task 2: Descriptive Analysis Delving into descriptive analysis, I calculated essential statistical measures for numerical columns, providing insights into data distributions. Exploring categorical variables like "Country Code," "City," and "Cuisines" unveiled trends and patterns, allowing for the identification of top cuisines and cities with the highest restaurant densities. Task 3: Geospatial Analysis In the realm of geospatial analysis, I visualized restaurant locations using latitude and longitude data, providing a spatial understanding of their distribution. By analyzing restaurant distributions across different cities and countries, I sought to understand any correlations between location and ratings, paving the way for informed decision-making. Excited to apply these newfound skills to drive impactful decisions and contribute to the innovative endeavors at Cognifyz Technologies! #Cognifyz #DataScience #GeospatialAnalysis #DescriptiveAnalysis #ExploratoryDataAnalysis #CognifyzTechnologies #cognifyzTech

Update! I've successfully completed my Level 1 tasks at Cognifyz Technologies, immersing myself in the fascinating world of data science. Throughout this journey, I honed in on three pivotal tasks: Task 1: Data Exploration and Preprocessing I meticulously explored datasets, identifying their dimensions and ensuring data integrity by handling missing values and performing necessary data type conversions. Analyzing the distribution of the target variable, Aggregate rating helped uncover any class imbalances, crucial for robust analysis. Task 2: Descriptive Analysis Delving into descriptive analysis, I calculated essential statistical measures for numerical columns, providing insights into data distributions. Exploring categorical variables like "Country Code," "City," and "Cuisines" unveiled trends and patterns, allowing for the identification of top cuisines and cities with the highest restaurant densities. Task 3: Geospatial Analysis In the realm of geospatial analysis, I visualized restaurant locations using latitude and longitude data, providing a spatial understanding of their distribution. By analyzing restaurant distributions across different cities and countries, I sought to understand any correlations between location and ratings, paving the way for informed decision-making. Excited to apply these newfound skills to drive impactful decisions and contribute to the innovative endeavors at Cognifyz Technologies! #Cognifyz #DataScience #GeospatialAnalysis #DescriptiveAnalysis #ExploratoryDataAnalysis #CognifyzTechnologies #cognifyzTech

Machine Learning + Data Science is coming on faster than any technical new comer to the restaurant space than anything I have seen in 26+ years in the hospitality industry. The ability to combine customer data and artificial intelligence modeling to forecast what different locations should prep, batch cook and schedule is critical to stay ahead of the ever-changing business levels. Real-time sales tracking from both restaurant and digital channels, and insights from weather and event data are some of the tools being used in the industry to achieve these goals. These insights are combined to “automate suggested prep” by the day or by the hour, making it easier for restaurant operators to stay on top of their game. It is important to note that most restaurant operators are attempting to use customer data, but the analytical models require constant attention and tweaking to remain effective. Therefore, it is essential for operators to stay up-to-date with the latest technological advancements in the industry. Stay ahead of the game by keeping yourself informed about the latest developments in Machine Learning and Data Science. #MachineLearning #DataScience #RestaurantIndustry #BusinessInsights Sourced from Business Insider

I'm thrilled to announce that I've completed Level 3 at Cognifyz Technologies This journey has been a deep dive into predictive modeling, customer preference analysis, and data visualization, enriching my skills and knowledge in the field of data science. Task 1: Predictive Modeling I've crafted a regression model that predicts restaurant ratings based on various features. Experimenting with algorithms like linear regression, decision trees, and random forest has provided insights into their performance. By splitting the dataset into training and testing sets, I've rigorously evaluated model accuracy. Task 2: Customer Preference Analysis Delving into the relationship between cuisine types and restaurant ratings has been fascinating. Identifying popular cuisines and those with higher ratings has offered actionable insights for restaurant owners, enriching our understanding of consumer preferences. Task 3: Data Visualization Visualizing data has been enlightening. Utilizing histograms and bar plots, I've effectively depicted rating distributions and compared average ratings across cuisines and cities. These visuals drive informed decision-making by uncovering patterns and trends. Gratitude fills me for the learning opportunities at Cognifyz Technologies. I'm eager to apply these skills to tackle future challenges! #Cognifyz #CognifyzTech #CognifyzTechnologies

🌟 Exciting News from CognifyzTech! 🌟 📊 Delving into the World of Data: Descriptive Analysis 📊 At Cognifyz Technologies, we believe in harnessing the power of data to uncover insights that drive informed decision-making. Recently, our team embarked on an insightful journey into descriptive analysis, and the findings are truly remarkable! 📈 **Numerical Insights**: We crunched the numbers and calculated essential statistical measures such as mean, median, and standard deviation for our numerical columns. By understanding these measures, we gain a deeper understanding of the underlying trends and patterns within our data. 🗺️ **Exploring Categorical Variables**: Our exploration didn't stop there! We delved into the distribution of categorical variables like "Country Code," "City," and "Cuisines." By mapping out these distributions, we gain valuable insights into the diversity and dynamics of our data. 🍽️ **Top Cuisines & Cities**: One of the most exciting discoveries was identifying the top cuisines and cities with the highest number of restaurants. Understanding these trends not only provides valuable insights for the culinary industry but also sheds light on consumer preferences and cultural influences. 🚀 At CognifyzTech, we're passionate about leveraging data to drive innovation and empower businesses to thrive in an ever-evolving landscape. Stay tuned as we continue to unravel the mysteries hidden within data, shaping the future with insights and intelligence. #Cognifyz #CognifyzTech #CognifyzTechnologies #DataAnalysis #DescriptiveAnalysis #Insights #Innovation #DataDrivenDecisionMaking #TechTrends #BusinessIntelligence

🚀 Hey there! Join me on this Data Odyssey at Cognifyz Technologies! 📊 Level 2 Unlocked! Here's a peek into the adventures: 🍽️ Task 1: Table Booking and Online Delivery Analysis 🛒 Ever wonder how many restaurants are ready to roll out the red carpet for your reservations? 🎩 Or how many are just a click away for your dining delights? 🚪 We dove into the data, deciphered the digits, and found the answer! Spoiler alert: It's more than you think! 🍽️📲 📈 Task 2: Price Range Analysis 💸 Cracking the code on restaurant prices! 💰 From wallet-friendly to baller-status, we've scoped out the scene. 🕵️♂️ Curious about the correlation between cash and cuisine satisfaction? We've got the dish on what's worth the splurge! 💳🍜 🛠️ Task 3: Feature Engineering 🔧 Adding a little tech magic to the mix! 🪄✨ We're not just crunching numbers; we're molding them like clay! 🎨 Say hello to "Has Table Booking" and "Has Online Delivery" features - our secret sauce for predicting your dining destiny! 🍲🔮 🌟 Ready for More? Level 3, Here We Come! Stay tuned for more data-driven escapades as we level up and decode the mysteries of the digital universe at Cognifyz Technologies! 🚀✨ #DataAdventures #CognifyzTechnologies #DataScience #CognifyzTechnologies #DataAnalysis #FeatureEngineering #PriceRangeAnalysis #TableBooking #OnlineDelivery #DataScience #FutureTrends #ExcitingJourney #RestaurantRiddles #TechTales Cognifyz Technologies

TASK 3: 🍽️ Exciting opportunity ahead! 📊 We've developed a powerful machine learning model to classify restaurants based on their cuisines. Here's a glimpse into our process: 1️⃣ **Data Preprocessing:** We've handled missing values and encoded categorical variables for accurate insights. 2️⃣ **Data Split:** Our dataset is divided into training and testing sets to ensure robust model evaluation. 3️⃣ **Classification Algorithm:** Using state-of-the-art techniques like logistic regression or random forest, we've trained our model to classify restaurants effectively. 4️⃣ **Performance Evaluation:** We've rigorously assessed the model's performance using key metrics like accuracy, precision, and recall on the testing data. 5️⃣ **Analysis:** Dive deep into understanding how our model performs across different cuisines. Uncover any challenges or biases to refine our approach further. Ready to revolutionize restaurant classification? Join us on this journey! 🌟 #MachineLearning #RestaurantClassification #DataScience 🍽️ Cognifyz Technologies #cognifyz #cognifyztechnologies #cognifyztech PACET POLLACHI 🔗 My project repository link:https://lnkd.in/gprSgg_f

🚀 Exciting Data Exploration and Analysis Journey at Cognifyz Technologies! 📊 Level 3 Unlocked! Hold onto your data hats, folks - things are about to get even more exciting! Here's a sneak peek into our latest adventures: 📈 Task 1: Predictive Modeling 🚀 We're not just predicting the future; we're shaping it! 🌟 From regression to decision trees and random forests, we've unleashed the power of algorithms to forecast restaurant ratings. Here are the performance metrics: Linear Regression RMSE: 0.1948 | R^2: 0.9833 Decision Tree Regression RMSE: 0.2260 | R^2: 0.9776 Random Forest Regression RMSE: 0.1764 | R^2: 0.9863 🌟 The Random Forest Regression model emerged as the champion, boasting the lowest RMSE and highest R^2 score! Ready to turn data into destiny? Buckle up - we're taking off on a predictive journey like no other! 🛫🔮 🍽️ Task 2: Customer Preference Analysis 🧐 Unlocking the secrets of the taste buds! Ever wondered if cuisine choices affect restaurant ratings? We've dived deep into the data ocean to uncover the truth! ANOVA analysis revealed a significant difference in ratings among different cuisines. 🌟 📊 Task 3: Data Visualization 🎨 Data? More like Data-mazing! From dazzling histograms to mesmerizing scatter plots, we've transformed raw numbers into visual wonders! Get ready to feast your eyes on the beauty of data and uncover hidden patterns like never before! 🌟🔍 🌟 Excited to Take on New Challenges and Opportunities! As this exhilarating project concludes, I'm thrilled and ready for new adventures in the data science realm! Open to exciting opportunities and collaborations in the field. Let's connect and explore how we can shape the future together! 💼🌟 #DataMagic #CognifyzTechnologies #DataScience #PredictiveProwess #CustomerInsights #VisualVoyage #ExcitedForNewChallenges Cognifyz Technologies