Between Fate And Fortune

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#Fate-Extra-CCC-Fox-TailCuando pues van a subir los siguientes cap no sean así con los fans

Fate zero art !;

"posters that you can put it on your room wall !"

Coffee & Vanilla (2019) - ForJoyTV Japanese Drama- Manga Has Gotten Live-Action Drama

Drama Name: Kohi ando Banira
English Name: Coffee & Vanilla
Japanese Name: コーヒー＆バニラ

Channel: MBS
Runtime: Friday 0:59 (Start from July 5th of 2019)
Watch Online: https://forjoytv.com

Brief Plot:

A love story between Risa Shiroki and Hiroto Fukami. Twenty year old Risa Shiroki comes to Tokyo from her hometown in the countryside to attend university. Pretty and popular with male students, she has never had a boyfriend and dreams of having a sweet love.

One day, thirty year old Hiroto Fukami appears in front of her. He is business man who appears to be gentle and looks perfect. As romance blossoms between them, Risa discovers Hiroto's dark past.

#Fate-stay-night-Heavens-FeelCuando pues van a subir los siguientes cap no sean así con los fans

Cricket is a bat-and-ball sport that is played between two teams of 11 players. It is a sport that is popular in many countries, especially in England, Australia, India, Pakistan, South Africa, and the West Indies. In cricket, one team bats while the other team bowls and fields. The aim of the batting team is to score as many runs as possible, while the aim of the bowling and fielding team is to dismiss all the batsmen and restrict the batting team from scoring runs.
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Hey There, I'm Alpha Jenner. There could be a number of reasons responsible for your printer saying offline during the print job. Here’s the list of Why Does My HP Printer Keep Going Offline. The following are some of the most frequently cited explanations: There is a problem with the connection between the computer and the printer.
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#Kimi-no-Na-wa Mitsuha Miyamizu, a high school girl, yearns to live the life of a boy in the bustling city of Tokyo—a dream that stands in stark contrast to her present life in the countryside. Meanwhile in the city, Taki Tachibana lives a busy life as a high school student while juggling his part-time job and hopes for a future in architecture.

One day, Mitsuha awakens in a room that is not her own and suddenly finds herself living the dream life in Tokyo—but in Taki's body! Elsewhere, Taki finds himself living Mitsuha's life in the humble countryside. In pursuit of an answer to this strange phenomenon, they begin to search for one another.

Kimi no Na wa. revolves around Mitsuha and Taki's actions, which begin to have a dramatic impact on each other's lives, weaving them into a fabric held together by fate and circumstance.

A powerful earthquake measuring 7.5 on the Richter scale has struck central America, causing widespread damage and panic among residents. The quake's epicenter was located in the mountainous region between the countries of Honduras and Nicaragua. Initial reports indicate that buildings have collapsed and there have been power outages in several areas. The full extent of the damage and number of casualties are not yet known, but rescue teams have been deployed to the affected regions. Stay tuned for further updates on this developing story."
https://featuretechnology.com/category/news/

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By creating an environment where all families feel welcomed and supported, they are dedicated to becoming a significant part of your child’s life. They truly value all our families and children and are committed to creating a strong bond between the home and the centre. To keep you up to date, their staff also prepare daily reports for each child on eating, sleeping and toileting, as well as monthly observations of your child’s progress. Their centre thrives thanks to the Montessori method." Visit us. https://kyndmontessori.com.au/

How to Dazzle with Diamond Necklaces: The Ultimate Guide to Exquisite Jewelry
Welcome to our comprehensive guide on diamond necklaces, where we unveil the allure and elegance of these exquisite pieces of jewelry. If you're in search of a statement accessory that exudes luxury and captures attention, a diamond necklace is undoubtedly the epitome of opulence. In this article, we will take you on a journey through the world of diamond necklaces, from their history and significance to choosing the perfect one for you. Join us as we delve into the captivating world of these sparkling gems and discover how you can make a lasting impression with a diamond necklace that shines above the rest.
Unveiling the Timeless Beauty of Diamond Necklaces:
A diamond necklace is not just a piece of jewelry; it is a work of art that embodies timeless beauty and elegance. The allure of diamond necklaces can be traced back to ancient civilizations, where they were revered as symbols of power, wealth, and eternal love. Today, diamond necklaces continue to captivate the hearts of jewelry enthusiasts worldwide, with their breathtaking brilliance and exquisite craftsmanship.
The History and Significance of Diamond Necklaces:
The history of diamonds is extensive and goes back thousands of years. The name "diamond" is derived from the Greek word "adamas," which means "unbreakable" or "indestructible," denoting the toughness and tenacity of the diamond. Due to their scarcity and distinctive brilliance, diamonds were initially discovered in India and were highly prized. Diamonds were employed as talismans to fend off bad spirits in ancient India since it was thought that they had protective properties.
European monarchy and nobility began to wear diamonds more often in the Middle Ages because they thought that doing so would bring them good fortune and shield them from harm. Diamond necklaces became in popularity throughout the Renaissance, and the nobles prized them greatly due to their elaborate patterns and precise craftsmanship.
In the contemporary day, diamond necklaces have come to represent opulence and status. Diamond necklaces are worn by celebrities and high-profile people to make a statement and show off their upscale taste and style during red carpet events and special occasions. A diamond necklace represents everlasting love and a lasting legacy. It is more than simply a piece of jewellery; it is a prized heirloom that may be passed down through the years.
Choosing the Perfect Diamond Necklace:
Selecting the perfect diamond necklace can be a daunting task, given the plethora of options available in the market. However, with careful consideration and attention to detail, you can find the diamond necklace that speaks to your heart and complements your personal style.

Cut:
The cut of a diamond is one of the most critical factors that determine its beauty and brilliance. A well-cut diamond reflects light in a way that maximizes its fire and scintillation, creating a mesmerizing play of light and enhancing its overall appearance. When choosing a diamond necklace, look for diamonds with excellent or very good cut grades to ensure optimal sparkle and radiance.
Carat Weight:
The carat weight of a diamond refers to its size, with one carat equivalent to 0.2 grams. While larger diamonds may seem more impressive, the carat weight should be considered in conjunction with the other factors, such as cut, color, and clarity, to determine the overall value and appearance of the diamond necklace.
Color:
The color of a diamond is graded on a scale from D (colorless) to Z (light yellow or brown). The most valuable diamonds are those that are colorless or near-colorless, as they allow the maximum amount of light to pass through and create a dazzling display of brilliance. When selecting a diamond necklace, consider diamonds in the D to G color range for a truly breathtaking piece of jewelry.

#Karakai-Jouzu-no-Takagi-santalvez muchos se sieron cuenta del crossover en este cap.
pero mis respetos al que ya sabia que en este maravilloso multiverso tambien estaba aderido como cameo el manga de fate has a estrange (￣∇￣)b

por que pongo a mordred!???? ES POR QUE QUIERO Y ME DA LA GANA DE PONERLA!! y por que en NIADD !???, por que hay otro que sube igual fotos de fate cada dia (Blgpoketz) , tambien por que yo creo que a su reciente foto le falta mordred!!! .

#Fate-stay-nightSi le sirve de consuelo a los que quedaron tristes, al final de la ruta(de la novela visual) se muestra como saber se reencuentra con shiro en el mas alla. Pero si eso aun no les basta en ma ruta de rin (de la novela visual) saber sobrevive v:

Cigarette vs Disposable Vape

Cigarettes and disposable vapes are two popular tobacco products, but they have some key differences that may be important to consider when deciding which one to use.

One major difference between cigarettes and disposable vapes is the way they are used. Cigarettes are smoked, while disposable vapes are activated by inhaling on the device. This means that disposable vapes do not produce smoke, but rather an aerosol that is exhaled.

Another difference is the composition of the products. Cigarettes are made from tobacco leaves that are rolled in paper, while disposable vapes contain a liquid that is heated to produce an aerosol. The liquid in disposable vapes, also known as e-liquid or e-juice, typically consists of propylene glycol, vegetable glycerin, flavorings, and sometimes nicotine.

In terms of health risks, both cigarettes and disposable vapes have been linked to negative health effects. Cigarette smoking is the leading cause of preventable death and disease worldwide, and has been linked to a variety of serious health problems including cancer, heart disease, and lung disease. Disposable vapes, on the other hand, have not been in use as long as cigarettes, so the long-term health effects are not yet fully understood. However, some studies have suggested that e-cigarette vapor may contain potentially harmful substances such as metals, ultrafine particles, and volatile organic compounds.

Overall, it is important to be aware of the potential risks associated with both cigarettes and disposable vapes, and to make an informed decision about which product is right for you. If you are a smoker and are considering switching to disposable vapes as a way to reduce your risk of tobacco-related health problems, it may be helpful to speak with a healthcare professional for advice.

Fall 2019 Upcoming must watch / check out shows:

New SEASOOOONS:

Boku no Hero Academia 4th Season - Oct 12
For those who watched bnha, it’s 4th season is almost here.

Sword Art Online: Alicization - season 2 Oct 13
Sword art online s2. yup it’s back. I have mixed feelings about this anime.

Shokugeki no Souma: Shin no Sara (Food wars 4th Season) - Oct 12
FINALLY. Benn waiting for this for AGES

Nanatsu no Taizai: Kamigami no Gekirin (7 Deadly sins season..2?) - Oct 9
Now this could be epic or shit.

Psycho-Pass 3 - Oct 25
I haven’t watched the previous seasons of this lmao so idk

Fate (ANOTHER FATE..well is this the 140th one now?) - Sep 29 (oh it’s already here)
Another fate..wooo..don’t care.

Bokutachi wa Benkyou ga Denkanai 2 - Oct 6
Harem anime season 2. yes. Idk why but japanese people obsess over this.

Chihayafuru 3 (3rd season) - Oct 23
Idk

Grandblue Fantasy Season 2 - Oct 5 (today)
Eh. Don’t care tbh.

High School Girl 2 - Oct 26
Um..what ze frick is this

Kono Oto Tomare! 2nd Season - Oct 6
OH YES PLEASE the music is very epic.

Fairy Gone 2nd season - oct 7
The first season was crep. eh.

NEW ANIME:

Shinchou Yuusha: Kono Yuusha ga Ore Tueee Kuse ni SHinchou Sugiru (Basically Cautious Hero) - Every Wendsday
This is a really good one. I watched the first ep and it looks like it’s going to be great. Isekai 1

Assassins Pride - Oct 10
I have no clue, but it has 40k members on myanimelist so maybe worth checking it out?
Idk lmao

Ore wo Suki wa Omae dake ka yo - Every Thursday
The first episode was fairly ok, it’s not for everyone because it’s kind of a generic harem
Actually I was going to instantly drop this because I hated the first 7 minutes, then right as I was dropping
it it just turned the tables by making the mc change his mood in a way that I haven’t seen before.
Check it out you might like it.

Azur Lane - Every Thursday (again)
It has action, military and historical tags.
Idk it looks wierd..meh.
The trailer didn’t tell shit tho

No Guns Life - Oct 11
Imma just say THIS TITLE REMINDED ME OF NO GAME NO LIFE AND HOW IT DOESN’T STILL HAVE A 2ND SEASON AGH
So sad.

Choujin Koukousei-tachi wa Isekai demo Yoyuu de Ikinuku you desu! (Hgih School Prodigies..) - Every Thursday
It looks nice..(it has great fan service too)
Worth checking out.
I don’t expect a whole lot but it’s interesting
Also, Isekai 2

Beastars - Oct 10
Furry

Hataage! Kemono Michi - Every Wendsday
Furry, but in a good way. Seriously this looks amazing lmao check it out I love it.
Isekai 3 lmao

Ahiru no Sora - Every Wendsday
Woo sports..don’t caree next

Babylon - Oct 7
Oh I went to Babylon the beach.
This looks good? Wait this is epic.
IT has a thriller tag so..iz a thriller / investigative thing
The trailer looks gret
Yeet

Honzuki no gekokujou: bla bla bla long name - Every Thursday
This looks bad. just no

Pet - Oct ??
It’s not about furries. The cover looks nice lmao

Watashi, Nouryoku wa Heikinchi de tte Itta yo ne! - Oct 7
Looks generic and bad. I’ll just pass this

Houkago Saikoro Club - Every Thursday
I’ll pass this aswell.

Hoshiai no Sora - Oct 11
Sora The teen adolescence story revolves around the coming-of-age of boys in a junior high school's soft tennis club, which is on the verge of shutting down. Touma Shinjou asks Maki Katsuragi to join the team for his vaunted abilities, and mentions a summer competition. Katsuragi asks for money in return for joining the team.
Yeah so um ok very epic copy paste by me

Keishichou Tokumubu Tokushu Kyouakuhan Taisakushitsu Dainanaka: Tokunana (muhaha y’all gotta write this name like I did which was hard af (I hope u can’t copy in this app so u got to write this all again(Idk if this is the case but ok))) - Oct 6
Looks..Isekai? 7 episodes? Wat Idk

Chuubyou gekihatsu Boy - Friday
No..I’ll watch just one more ep but Imma drop this one chief

XL Joushi - Is this a hentai?
The cover looks like it
-Oct 7

There are some more but I don’t have the time to write these anime, and all of them look shit so go to myanimelist if y’all wanna check them out.
This took centuries to write wtf

Beginner’s Guide For The Data Scientist ?

data Science is a mix of different instruments, calculations, and AI standards to find concealed designs from crude information. What makes it not quite the same as measurements is that information researchers utilize different high-level AI calculations to distinguish the event of a specific occasion from now on. An Information Researcher will take a gander at the information from many points, some of the time points not known before.


data Perception

Information Perception is one of the main parts of information science. It is one of the fundamental apparatuses used to investigate and concentrate on connections between various factors. Information perception apparatuses like to disperse plots, line diagrams, bar plots, histograms, Q-Q plots, smooth densities, box plots, match plots, heat maps, and so on can be utilized for enlightening examination. Information perception is additionally utilized in AI for information preprocessing and examination, highlight determination, model structure, model testing, and model assessment.


Exceptions data science course in pune


An exception is a piece of information, that is totally different from the dataset. Exceptions are many times simply terrible information, made because of a broken down sensor, debased examinations, or human mistake in recording information. At times, exceptions could show something genuine like a glitch in a framework. Anomalies are extremely normal and are normal in enormous datasets. One familiar method for distinguishing exceptions in a dataset is by utilizing a container plot.


data Ascription

Most datasets contain missing qualities. The most straightforward method for managing missing information is just to discard the data of interest. Different addition procedures can be utilized for this reason to assess the missing qualities from the other preparation tests in the dataset. One of the most widely recognized addition methods is mean attribution where the missing worth is supplanted with the mean worth of the whole component section.


Information Scaling

Information scaling works on the quality and prescient force of the information model. Information scaling can be accomplished by normalizing or normalizing genuine esteemed info and result factors.
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There are two sorts of information scaling accessible standardization and normalization.



Head Part Examination

Huge datasets with hundreds or thousands of highlights frequently lead to overt repetitiveness particularly when elements are connected with one another. Preparing a model on a high-layered dataset having an excessive number of elements can at times prompt overfitting. Head Part Examination (PCA) is a factual strategy that is utilized for include extraction. PCA is utilized for high-layered and related information. The essential thought of PCA is to change the first space of elements into the space of the important part.


Direct Discriminant Investigation

The objective of the direct discriminant investigation is to find the component subspace that enhances class distinctness and diminishes dimensionality. Thus, LDA is a directed calculation.

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Information Apportioning

In AI, the dataset is frequently divided into preparing and testing sets. The model is prepared on the preparation dataset and afterward tried on the testing dataset. The testing dataset hence goes about as the concealed dataset, which can be utilized to gauge a speculation blunder (the mistake expected when the model is applied to a genuine world dataset after the model has been sent).


Regulated Learning

These are AI calculations that perform advancing by concentrating on the connection between the component factors and the known objective variable. Administered learning has two subcategories like ceaseless objective factors and discrete objective factors.




In unaided learning, unlabeled information or information of obscure construction are managed. Utilizing solo learning strategies, one can investigate the design of the information to extricate significant data without the direction of a known result variable or prize capability. K-implies bunching is an illustration of an unaided learning ca