Disney's live-action Lilo & Stitch had a huge success, earning $341.7 million worldwide over Memorial Day weekend, breaking box office records

Disney's live-action Lilo & Stitch had a huge success, earning $341.7 million worldwide over Memorial Day weekend, breaking box office records.

This is a big win for Disney after the commercial failure of its previous live-action remake, Snow White, which made only $42 million on its opening weekend in March despite a $250 million budget.

The success of Lilo & Stitch shows that Disney may do better by avoiding remakes of its classic titles. Memorial Day weekends are usually slow at the box office, but this time, the film’s unique charm brought large crowds to theaters.

The success also signals a strong rebound for the movie industry, with Mission: Impossible — The Final Reckoning also performing well, making over $200 million globally.

In short, Disney’s Lilo & Stitch proves that audiences respond well to fresh takes on stories, while the Snow White remake showed that not all reboots land.

Zara Noor reconnects with Kathak and herself

Zara Noor reconnects with Kathak and herself

On Wednesday, Zara Noor Abbas shared a deeply poetic and emotionally resonant black-and-white reel on her Instagram, offering a glimpse into a moment of both vulnerability and empowerment. Dancing to the evocative track Voh Tere Mere Ishq Ka by Sunidhi Chauhan, Zara created a visual masterpiece that felt like a gentle whisper from the heart, pulsing with rediscovered rhythm.

Filmed on a quiet balcony, Zara wore a traditional black pishwas, its flowing elegance reflecting the grace in her movements. With her hands adorned in mehendi, her fluid gestures conveyed a deeper story—a return not just to the art of Kathak, but to herself. The monochrome setting enhanced the emotional depth, drawing attention to the subtle beauty of her footwork, the intensity in her eyes, and the poignant narrative unfolding with every beat.

Paris Hilton opens up about 'happy hour' on Thanksgiving

Paris Hilton revealed that she kept the birth of her daughter London with husband Carter Reum a secret from her family until Thanksgiving.

On Monday, Paris Hilton emerged on the show for her first public appearance after announcing the newest addition to her family, her daughter London.

Speaking of the big announcement, the heiress revealed how she stunned her family with London’s birth.

“My Thanksgiving was amazing. Of course, that's when I surprised the whole family with London,” the mother of two told the show hosts.

She recounted the moment by explaining that around 5 in the evening of Thanksgiving, her husband, Carter Reum, escorted everyone into the living room. He then announced, “I have a surprise.”

Paris also addressed, “Everyone thought a magician was coming. Like, we have a performer coming in. So everyone's all excited.”

“And then I walk in holding a pink blanket with the baby, and everyone is sitting there like ‘What?!’”

The 42-year-old media personality even admitted that with her two kids, baby girl London and 11-month-old toddler Phoenix, she “feels so complete”.

The elated mother also signed off by saying, “It was the best Thanksgiving I've ever had in my life.”

 

Emily opens on ‘taboo’ divorce amid busy dating life

 SYDNEY - Emily Ratajkowski got candid of what she thinks of divorce in a recent interview. The model opened up for Vogue Australia for their December 2023 issue, which will hit shelves on sale Monday, December 4. Emily gave some thought to her divorce as well as her opinions on people who condemn divorcees. Sebastian Bear-McClard and Emily were wed for four years before calling it quits in 2022, sharing Sylvester Apollo, age 2. Emily said to the outlet, “I do think so many women are divorcing at younger ages, and it’s such a taboo and there’s such stigma around it.” The social media celebrity talked about how she came to open up about her personal life and said, “I don’t know if it’s a bad thing, particularly when you think about the weight of the taboo of divorce, to say, “’No, it’s not bad. Actually, maybe it’s cool.’” In the midst of the hectic dating scene Emily has experienced since her divorce, she reflects on her public split. She said, quite candidly, on a TikTok that once she was single, she would “date anyone who wanted to take her to dinner.” People claims that in the year following the divorce, Emily has been connected to Pete Davidson, Harry Styles, Eric Andre, Orazio Rispo, and Jack Greer. Following their attendance at the US Open together, fans also associated her with 52-year-old Justin Theroux, who was photographed in her neighbourhood. Emily was also seen moving on and making out in public with Stephane Bak in Paris, France, last month.

What is Data Science?

Are you one of the many who dreams of becoming a data scientist keep reading this article if you're passionate about data science because I will tell you how does it really work under the hood. Emma is a data scientist let's see how a day in her life goes while she's working on a data science project. Well it is very important to understand the business problem first in our meeting with the clients emma asks relevant questions. Understands and defines objectives for the problem that needs to be tackled. She is a curious soul who asks a lot of eyes one of the many traits of a good data scientist.

Now she gears up for data acquisition to gather and scrape data from multiple sources like web servers, logs databases, API's and online repositories. Oh it seems like finding the right data takes both time and effort. After the data is gathered comes data preparation this step involves data cleaning and data transformation. Data cleaning is the most time consuming process as it involves handling many complex scenarios. Here emma deals with inconsistent data types, misspelled attributes, missing values, duplicate values and what not then in data transformation. She modifies the data based on defined mapping rules in a project ETL tools like talent and informatica are used to perform complex transformations that helps the team to understand the data structure better then understanding what you actually can do with your data. 

It is very crucial for that emma does exploratory data analysis with the help of eda she defines and refines the selection of feature variables that will be used in the model development. But what if emma skips this step, she might end up choosing the wrong variables which will produce an inaccurate model. Thus exploratory data analysis becomes the most important step, now she proceeds to the core activity of a data science project which is data modeling. She repetitively applies diverse machine learning techniques like knn decision tree knife base to the data to identify the model that best fits the business requirement. She trains the models on the training data set and test them to select the best performing model. 

Emma prefers python for modeling the data, however it can also be done using R and SAAS. Well the trickiest part is not yet over visualization and communication. Emma meets the clients again to communicate the business findings in a simple and effective manner to convince the stakeholders. She uses tools like Tableau, PowerBi and Q like view that can help her in creating powerful reports and dashboards and then finally she deploys and maintains the model. She tests the selected model in a pre-production environment before deploying it in the production environment, which is the best practice right after successfully deploying it. She uses reports and dashboards to get real-time analytics further. She also monitors and maintains the project's performance well that's how emma completes the data science project. We have seen the daily routine of a data scientist is a whole lot of fun has a lot of interesting aspects and comes with its own share of challenges. 

Now, let's see how data science is changing the world data science techniques along with genomic data provides a deeper understanding of genetic issues and reaction to particular drugs and diseases logistic companies like DHL fedex have discovered the best rules to ship the best suited time to deliver the best mode of transport to choose. Thus leading to cost efficiency with data science it is possible to not only predict employee attrition but to also understand the key variables that influence employee turnover also. The airline companies can now easily predict flight delay and notify the passengers beforehand to enhance their travel experience well. If you're wondering there are various roles offered to a data scientist like data analyst, machine learning engineer, deep learning engineer, data engineer and of course data scientist.
The median base salaries of a data scientist can range from 95 000 to 165 000, so that was about the data science. Are you ready to be a data scientist? If yes, then start today the world of data needs you that's all from my side today thank you for Reading. Comment below the next topic that you want to learn and subscribe to simply learn to get the latest updates on more such interesting articles, thank you and keep learning.

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Where Wax (Rip! ‘Ouch!’) Is Queen

MALYNDA VIGLIOTTI opened her waxing salon, the Boom Boom Brow Bar, in the spring of 2008, the same week the financial markets began their drastic downturn. And her potential customers, a species of well-maintained New Yorkers who operate under a “No Follicle Left Behind” edict, stayed home.